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WO2025203902A1 - Driver monitoring device, driver monitoring method, and program - Google Patents

Driver monitoring device, driver monitoring method, and program

Info

Publication number
WO2025203902A1
WO2025203902A1 PCT/JP2024/043496 JP2024043496W WO2025203902A1 WO 2025203902 A1 WO2025203902 A1 WO 2025203902A1 JP 2024043496 W JP2024043496 W JP 2024043496W WO 2025203902 A1 WO2025203902 A1 WO 2025203902A1
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WIPO (PCT)
Prior art keywords
driver
physical condition
driving
predetermined
risk score
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Pending
Application number
PCT/JP2024/043496
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French (fr)
Japanese (ja)
Inventor
茂信 光澤
智 新川
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Honda Motor Co Ltd
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Honda Motor Co Ltd
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Publication date
Application filed by Honda Motor Co Ltd filed Critical Honda Motor Co Ltd
Publication of WO2025203902A1 publication Critical patent/WO2025203902A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems

Definitions

  • the present invention relates to a driver monitoring device, a driver monitoring method, and a program.
  • Patent Document 1 discloses a technology that calculates the driver's drowsiness risk based on information obtained from the vehicle driver, calculates the monotonous driving risk based on information about the route the vehicle is traveling, and estimates the time at which the driver's future drowsiness level will exceed a predetermined threshold based on the drowsiness risk and monotonous driving risk.
  • the object of this application is to calculate an index that can be used to manage the driver's physical condition according to the driver's driving situation.
  • the present application aims to calculate an index that can be used to manage a driver's physical condition according to the driver's driving situation, thereby further improving traffic safety and contributing to the development of a sustainable transportation system.
  • a first aspect for achieving the above object is a driver monitoring device that includes a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of the mobile body in accordance with the driving operation of the mobile body by the driver, a risk score calculation unit that calculates a risk score related to the driver's driving of the mobile body based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit, and a health condition related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.
  • the physical condition-related index calculation unit may be configured to calculate, as the predetermined index, a physical condition-related driving risk, which is an index of the driving risk of the mobile object caused by the physical condition of the driver.
  • the predetermined behavior may be associated with a type of driving ability of the driver that is expected to affect the level of the predetermined behavior.
  • driver monitoring device makes it possible to calculate indicators that can be used to manage the driver's physical condition, depending on the driver's driving conditions.
  • Vehicle 100 is equipped with an ECU (Electronic Control Unit) 110 that controls the operation of vehicle 100, a communication unit 120, a navigation device 121, a front camera 130 that captures images in front of vehicle 100, a driver monitor camera 131 that captures images of driver D, a display 132, speakers 133a and 133b, an acceleration sensor 134, etc.
  • ECU 110 communicates with communication terminal 1 via communication unit 120.
  • Vehicle 100 is equipped with a steering wheel 140, an accelerator pedal 141, a brake pedal, etc. as driving operation parts.
  • Memory 20 stores application program 21 for driver monitoring device 2 and risk score time series data 22 in which risk scores are recorded in chronological order.
  • processor 10 functions as a mobile object behavior level recognition unit 11, biometric information acquisition unit 12, risk score calculation unit 13, risk score information storage unit 14, physical condition-related index calculation unit 15, and advice notification unit 16.
  • the mobile object behavior level recognition unit 11 recognizes the acceleration of the vehicle 100 based on the detection signal of the acceleration sensor 32. In addition, the mobile object behavior level recognition unit 11 recognizes the departure and stopping of the vehicle 100 and the condition of the road on which the vehicle 100 is traveling based on the position of the vehicle 100 detected by the GNSS sensor 33 and the map data Mad received and acquired from the traffic information server 210.
  • the risk score calculation unit 13 stores the levels of the first to fourth elements recognized by the mobile body behavior level recognition unit 11 on a daily basis in the memory 20 while the vehicle 100 is traveling. Then, the risk score calculation unit 13 calculates a risk score F(a, b) from the stored measurement data of the levels of the first to fourth elements on a daily basis using the following formula (1).
  • step S3 the health-related index calculation unit 15 proceeds to step S4 when risk scores for the judgment period (e.g., one month) have been recorded in the risk score time series data 22, and proceeds to step S1 when risk scores for the judgment period have not yet been recorded in the risk score time series data 22.
  • risk scores for the judgment period e.g., one month
  • step S4 the health-related index calculation unit 15 calculates the degree of variation in the risk scores for the judgment period.
  • the degree of variation is, for example, a standard deviation, and corresponds to the health-related index of the present disclosure.
  • step S5 the advice notification unit 16 determines whether the degree of variation in the risk scores is equal to or greater than a predetermined degree.
  • step S10 the advice notification unit 16 displays physical condition advice information on the display 34 and proceeds to step S6.
  • the degree of variation in the risk scores is equal to or greater than a predetermined degree, there is a large inconsistency in driver D's daily driving, and the driver's physical condition is suspected to be poor. Therefore, by displaying physical condition advice information and encouraging driver D to take measures to improve his or her physical condition, it is possible to maintain driver D's good physical condition and ensure safe driving.
  • step S6 the physical condition-related index calculation unit 15 calculates the area of the range above the limit score (the shaded area) as the physical condition-related driving risk, as shown in A2 of Figure 4.
  • the physical condition-related driving risk corresponds to the physical condition-related index of the present disclosure.
  • step S7 the advice notification unit 16 determines whether the physical condition-related driving risk is above the judgment level. If the physical condition-related driving risk is above the judgment level, the advice notification unit 16 proceeds to step S20, and if the physical condition-related driving risk is below the judgment value, the advice notification unit 16 proceeds to step S8.
  • step S20 the advice notification unit 16 determines whether the vehicle 100 is being driven. Based on the communication status between the vehicle 100 and the communication terminal 1, the advice notification unit 16 recognizes whether the communication terminal 1 is being used inside the vehicle 100, and if it recognizes that the communication terminal 1 is being used inside the vehicle 100, it determines whether the vehicle 100 is being driven based on whether there is a change in the position detected by the GNSS sensor 33.
  • step S22 the advice notification unit 16 displays driving advice information corresponding to the driving risk due to physical condition on the display 34 to alert the driver D, and the process proceeds to step S8.
  • step S21 the advice notification unit 16 displays physical condition advice information corresponding to the driving risk due to physical condition on the display 34 to give advice to the driver D to improve their physical condition, and the process proceeds to step S8.
  • the health-related index calculation unit 15 calculated the degree of variation in the danger score in step S4 of Figure 5 as a predetermined index related to the health of driver D of the present disclosure, and calculated the health-related driving risk in step S6 of Figure 5, but the predetermined index may also be calculated by other calculation processing.
  • the advice notification unit 16 is provided and displays physical condition advice information and driving advice information on the display 34, but it is also possible to display only one of the physical condition advice information and driving advice information. Furthermore, the physical condition advice information and driving advice information may be output as audio from the speaker 35 rather than being displayed on the display 34, or in addition to being displayed on the display 34.
  • the driver monitoring device 2 was configured as a function of the communication terminal 1.
  • the driver monitoring device of the present disclosure may be configured as a function of an on-board device such as the ECU 110 provided in the vehicle 100, or as a dedicated on-board device.
  • the on-board device measures the components of the risk score using the acceleration sensor 134 provided in the vehicle 100, and displays physical condition advice information and driving advice information on the display 132.
  • Figure 2 is a schematic diagram showing the configuration of the driver monitoring device 2 divided by main processing content to facilitate understanding of the present invention, and the configuration of the driver monitoring device 2 may also be divided into other categories. Furthermore, the processing of each component may be performed by a single hardware unit or multiple hardware units. Furthermore, the processing of each component shown in Figure 5 may be performed by a single program or multiple programs.
  • a driver monitoring device comprising: a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by a driver; a risk score calculation unit that calculates a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit; and a health condition related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.
  • the driver monitoring device of configuration 1 by recognizing the level of a predetermined behavior of a moving body according to the driving situation of the driver and calculating a risk score, it is possible to calculate an index that can be used to manage the driver's physical condition.
  • (Configuration 2) The driver monitoring device according to Configuration 1, wherein the physical condition-related index calculation unit calculates, as the predetermined index, a physical condition-attributed driving risk, which is an index of the driving risk of the moving body caused by the physical condition of the driver.
  • a driving risk attributable to physical condition which can be used as an index of the driver's driving risk.
  • (Configuration 5) A driver monitoring device described in any one of configurations 1 to 4, wherein the risk score calculation unit calculates the risk score based on the level of the specified behavior recognized by the mobile body behavior level recognition unit during a specified measurement period, and includes a risk score information storage unit that stores the multiple risk scores calculated by the risk score calculation unit for each measurement period in a memory unit, and the physical condition-related index calculation unit calculates the specified index based on the multiple risk scores stored in the memory unit. According to the driver monitoring device of configuration 5, it is possible to calculate the predetermined index while suppressing the influence of sudden changes in the physical condition of the driver during the measurement period.
  • the driver monitoring device described in Configuration 5 is equipped with an advice notification unit, in which the physical condition-related index calculation unit calculates the degree of variation of the multiple risk scores stored in the memory unit as the specified index, and when the degree of variation is greater than or equal to a specified degree, outputs physical condition advice information that notifies advice regarding the driver's physical condition from an alarm device used by the driver.
  • the driver monitoring device of configuration 6 when the degree of variation in the danger score is large and it is assumed that the driver's physical condition is unstable, the driver can be encouraged to improve his or her physical condition by providing physical condition advice information.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present invention provides a driver monitoring system, a driver monitoring method, and a program for calculating an index that can be utilized for managing the physical condition of a driver according to driver's driving conditions. A driver monitoring device (2) is provided with: a mobile object behavior level recognition unit (11) that recognizes the level of a prescribed behavior of a mobile object (100) according to mobile object (100) driving operations performed by a driver; a danger score calculation unit (13) that calculates a danger score relating to driving of the mobile object (100) by the driver on the basis of the level of the prescribed behavior recognized by the mobile object behavior level recognition unit (11); and a physical condition-related index calculation unit (15) that calculates a prescribed index relating to the physical condition of the driver on the basis of the danger score.

Description

運転者モニタ装置、運転者モニタ方法、及びプログラムDriver monitoring device, driver monitoring method, and program

 本発明は、運転者モニタ装置、運転者モニタ方法、及びプログラムに関する。 The present invention relates to a driver monitoring device, a driver monitoring method, and a program.

 近年、交通参加者の中でも脆弱な立場にある人々にも配慮した持続可能な輸送システムへのアクセスを提供する取り組みが活発化している。この実現に向けて予防安全技術に関する研究開発を通して交通の安全性や利便性をより一層改善する研究開発に注力している。
 例えば、特許文献1は、車両の運転者から得られる情報に基づいて運転者の眠気リスクを算出すると共に、車両が走行する経路の情報に基づいて単調運転リスクを算出し、眠気リスクと単調運転リスクに基づいて、運転者の将来の眠気度が所定の閾値を超える時間を推定する技術を開示する。
In recent years, efforts to provide access to sustainable transport systems that take into consideration vulnerable transport participants have become more active. To achieve this, we are focusing on research and development into preventive safety technologies to further improve road safety and convenience.
For example, Patent Document 1 discloses a technology that calculates the driver's drowsiness risk based on information obtained from the vehicle driver, calculates the monotonous driving risk based on information about the route the vehicle is traveling, and estimates the time at which the driver's future drowsiness level will exceed a predetermined threshold based on the drowsiness risk and monotonous driving risk.

特開2019-174693号公報Japanese Patent Application Laid-Open No. 2019-174693

 ところで、予防安全技術においては、運転者の認知能力や判断能力に影響する運転者の体調を精度良く認識して、必要な対応措置を提供することが望まれる。そこで、運転者の運転状況に応じて、運転者の体調管理に活用し得る指標を算出することが本願の課題である。
 本願は上記課題の解決のため、運転者の運転状況に応じて、運転者の体調管理に活用し得る指標を算出することを目的とする。そして、延いては交通の安全性をより一層改善して持続可能な輸送システムの発展に寄与するものである。
In preventive safety technology, it is desirable to accurately recognize the driver's physical condition, which affects the driver's cognitive ability and judgment ability, and to provide necessary countermeasures. Therefore, the object of this application is to calculate an index that can be used to manage the driver's physical condition according to the driver's driving situation.
In order to solve the above problems, the present application aims to calculate an index that can be used to manage a driver's physical condition according to the driver's driving situation, thereby further improving traffic safety and contributing to the development of a sustainable transportation system.

 この明細書には、2024年3月29日に出願された日本国特許出願・特願2024-055486の全ての内容が含まれる。
 上記目的を達成するための第1態様として、運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、を備える運転者モニタ装置が挙げられる。
This specification includes the entire contents of Japanese Patent Application No. 2024-055486, filed on March 29, 2024.
A first aspect for achieving the above object is a driver monitoring device that includes a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of the mobile body in accordance with the driving operation of the mobile body by the driver, a risk score calculation unit that calculates a risk score related to the driver's driving of the mobile body based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit, and a health condition related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.

 上記運転者モニタ装置において、前記体調関連指標算出部は、前記所定指標として、前記運転者の体調に起因する前記移動体の運転リスクの指標である体調起因運転リスクを算出する構成としてもよい。 In the above-mentioned driver monitoring device, the physical condition-related index calculation unit may be configured to calculate, as the predetermined index, a physical condition-related driving risk, which is an index of the driving risk of the mobile object caused by the physical condition of the driver.

 上記運転者モニタ装置において、前記所定挙動は、前記所定挙動のレベルに影響すると想定される前記運転者の運転に関わる能力の種別と対応付けられている構成としてもよい。 In the driver monitoring device, the predetermined behavior may be associated with a type of driving ability of the driver that is expected to affect the level of the predetermined behavior.

 上記運転者モニタ装置において、前記危険スコア算出部は、複数種類の前記所定挙動のレベルについて、前記運転者の体調に対する影響度に応じた重み付けを行って、前記危険スコアを算出する構成としてもよい。 In the driver monitoring device, the risk score calculation unit may be configured to calculate the risk score by weighting the levels of multiple types of predetermined behaviors according to the degree of impact they have on the driver's physical condition.

 上記運転者モニタ装置において、前記危険スコア算出部は、所定の測定期間において前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記危険スコアを算出し、前記危険スコア算出部により前記測定期間ごとに算出された複数の前記危険スコアを、記憶部に保存する危険スコア情報蓄積部を備え、前記体調関連指標算出部は、前記記憶部に保存された複数の前記危険スコアに基づいて、前記所定指標を算出する構成としてもよい。 In the above-mentioned driver monitoring device, the risk score calculation unit may calculate the risk score based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit during a predetermined measurement period, and may include a risk score information accumulation unit that stores the multiple risk scores calculated by the risk score calculation unit for each measurement period in a memory unit, and the physical condition-related index calculation unit may calculate the predetermined index based on the multiple risk scores stored in the memory unit.

 上記運転者モニタ装置において、前記体調関連指標算出部は、前記所定指標として、前記記憶部に保存された複数の前記危険スコアのばらつき度合を算出し、前記ばらつき度合が所定度合以上であるときに、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える構成としてもよい。 In the above-mentioned driver monitoring device, the physical condition-related index calculation unit may be configured to calculate the degree of variation among the multiple risk scores stored in the memory unit as the predetermined index, and may be configured to include an advice notification unit that outputs physical condition advice information that notifies advice regarding the driver's physical condition from a notification device used by the driver when the degree of variation is equal to or greater than a predetermined degree.

 上記運転者モニタ装置において、前記運転者の生体情報を取得する生体情報取得部を備え、前記体調関連指標算出部は、前記危険スコアと前記生体情報とに基づいて、前記所定指標を算出する構成としてもよい。 The driver monitoring device may be configured to include a biometric information acquisition unit that acquires biometric information of the driver, and the physical condition-related index calculation unit that calculates the predetermined index based on the risk score and the biometric information.

 上記運転者モニタ装置において、前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記運転者の運転に関するアドバイスを報知する運転アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える構成としてもよい。 The driver monitoring device may also be configured to include an advice notification unit that outputs driving advice information from a notification device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level, providing advice regarding driving to the driver.

 上記運転者モニタ装置において、前記アドバイス報知部は、前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記移動体が運転中であるときは、前記運転アドバイス情報を前記報知装置から出力し、前記運転者が前記移動体の運転中でないときには、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記報知装置から出力する構成としてもよい。 In the above-mentioned driver monitoring device, the advice notification unit may be configured to output the driving advice information from the notification device when the driver is driving the vehicle and the driving risk due to physical condition calculated by the physical condition-related index calculation unit is equal to or greater than a predetermined level, and to output physical condition advice information that notifies advice regarding the driver's physical condition from the notification device when the driver is not driving the vehicle.

 上記運転者モニタ装置において、前記アドバイス報知部は、体調関連指標算出部により算出された、前記体調起因運転リスクのレベルに応じて、前記運転アドバイス情報と前記体調アドバイス情報の出力態様を変更する構成としてもよい。 In the driver monitoring device, the advice notification unit may be configured to change the output mode of the driving advice information and the physical condition advice information depending on the level of the driving risk caused by the physical condition calculated by the physical condition-related index calculation unit.

 上記目的を達成するための第2態様として、コンピュータにより実行される運転者モニタ方法であって、運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識ステップと、前記移動体挙動レベル認識ステップにより認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出ステップと、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出ステップと、を含む運転者モニタ方法が挙げられる。 A second aspect for achieving the above object is a driver monitoring method executed by a computer, which includes a mobile object behavior level recognition step for recognizing the level of a predetermined behavior of the mobile object in accordance with the driving operation of the mobile object by the driver, a risk score calculation step for calculating a risk score related to the driving of the mobile object by the driver based on the level of the predetermined behavior recognized in the mobile object behavior level recognition step, and a physical condition-related index calculation step for calculating a predetermined index related to the physical condition of the driver based on the risk score.

 上記目的を達成するための第3態様として、コンピュータを、運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、して機能させるプログラムが挙げられる。 A third aspect for achieving the above object is a program that causes a computer to function as a mobile object behavior level recognition unit that recognizes the level of a predetermined behavior of the mobile object in response to the driving operation of the mobile object by the driver, a risk score calculation unit that calculates a risk score related to the driver's driving of the mobile object based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit, and a health-related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.

 上記運転者モニタ装置、運転者モニタ方法、及びプログラムによれば、運転者の運転状況に応じて、運転者の体調管理に活用し得る指標を算出することができる。 The above-mentioned driver monitoring device, driver monitoring method, and program make it possible to calculate indicators that can be used to manage the driver's physical condition, depending on the driver's driving conditions.

図1は、運転者モニタ装置の使用態様の説明図である。FIG. 1 is an explanatory diagram of how a driver monitoring device is used. 図2は、運転者モニタ装置の構成図である。FIG. 2 is a diagram showing the configuration of the driver monitoring device. 図3は、運転に関わる能力、アドバイス項目、及び危険スコアの構成要素の対応関係の説明図である。FIG. 3 is an explanatory diagram of the correspondence between components of driving-related abilities, advice items, and risk scores. 図4は、危険スコアの推移と、危険スコアの確率密度の説明図である。FIG. 4 is an explanatory diagram of the transition of the risk score and the probability density of the risk score. 図5は、運転者モニタ処理のフローチャートである。FIG. 5 is a flowchart of the driver monitoring process.

 [1.運転者モニタ装置の使用態様]
 図1を参照して、本実施形態の運転者モニタ装置2の使用態様について説明する。運転者モニタ装置2は、車両100の運転者Dにより使用される通信端末1の機能として構成されている。通信端末1は、スマートフォン、携帯電話、タブレット端末等である。通信端末1は、車両100が備えられた端末ホルダ150に装着されている。車両100は、本開示の移動体に相当する。本開示の移動体は、車両以外の航空機、船舶等であってもよい。
[1. Usage of the driver monitoring device]
A usage mode of a driver monitoring device 2 of this embodiment will be described with reference to Figure 1. The driver monitoring device 2 is configured as a function of a communication terminal 1 used by a driver D of a vehicle 100. The communication terminal 1 is a smartphone, a mobile phone, a tablet terminal, or the like. The communication terminal 1 is attached to a terminal holder 150 provided on the vehicle 100. The vehicle 100 corresponds to the mobile body of the present disclosure. The mobile body of the present disclosure may be an aircraft, a ship, or the like other than a vehicle.

 車両100には、車両100の作動を制御するECU(Electronic Control Unit)110、通信ユニット120、ナビゲーション装置121、車両100の前方を撮影するフロントカメラ130、運転者Dを撮影する運転者モニタカメラ131、ディスプレイ132、スピーカー133a,133b、加速度センサ134等が備えられている。ECU110は、通信ユニット120を介して、通信端末1との間で通信を行う。車両100には、運転操作部として、ステアリングホイール140、アクセルペダル141、及びブレーキペダル等が備えられている。 Vehicle 100 is equipped with an ECU (Electronic Control Unit) 110 that controls the operation of vehicle 100, a communication unit 120, a navigation device 121, a front camera 130 that captures images in front of vehicle 100, a driver monitor camera 131 that captures images of driver D, a display 132, speakers 133a and 133b, an acceleration sensor 134, etc. ECU 110 communicates with communication terminal 1 via communication unit 120. Vehicle 100 is equipped with a steering wheel 140, an accelerator pedal 141, a brake pedal, etc. as driving operation parts.

 運転者モニタ装置2は、運転者Dによるステアリングホイール140、アクセルペダル141、及びブレーキペダル142の操作に応じて変化する車両100の挙動を、通信端末1に内蔵された加速度センサによって認識する。そして、運転者モニタ装置2は、認識した車両100の所定挙動に基づいて、運転者Dによる車両100運転に関する危険スコアを算出する。 The driver monitoring device 2 uses an acceleration sensor built into the communication terminal 1 to recognize the behavior of the vehicle 100, which changes in response to the driver D's operation of the steering wheel 140, accelerator pedal 141, and brake pedal 142. The driver monitoring device 2 then calculates a risk score for the driver D's driving of the vehicle 100 based on the recognized predetermined behavior of the vehicle 100.

 運転者モニタ装置2は、危険スコアに応じて、通信端末1のディスプレイに、運転者Dの運転に関するアドバイスを報知する運転アドバイス情報と、運転者Dの体調に関するアドバイスを報知する体調アドバイス情報を表示して、運転者Dの運転スキルと体調の管理をサポートする。 The driver monitoring device 2 displays driving advice information that provides advice regarding driver D's driving and physical condition advice information that provides advice regarding driver D's physical condition on the display of the communication terminal 1 according to the risk score, thereby supporting driver D's management of his driving skills and physical condition.

 [2.運転者モニタ装置の構成]
 図2を参照して、運転者モニタ装置2の構成について説明する。運転者モニタ装置2の機能を有する通信端末1は、プロセッサ10とメモリ20を有する制御ユニット3、通信ユニット30、カメラ31、加速度センサ32、GNSS(Global Navigation Satellite System)センサ33、ディスプレイ34、及びスピーカー35を備えている。
2. Configuration of the driver monitoring device
The configuration of the driver monitoring device 2 will be described with reference to Fig. 2. The communication terminal 1 having the functions of the driver monitoring device 2 includes a control unit 3 having a processor 10 and a memory 20, a communication unit 30, a camera 31, an acceleration sensor 32, a GNSS (Global Navigation Satellite System) sensor 33, a display 34, and a speaker 35.

 通信ユニット30は、車両100及び運転者Dが装着しているウェアラブルデバイス160(スマートウォッチ等)との間で、Bluetooth(登録商標)、UWB(Ultra Wide Band)等の仕様による近距離無線通信を行う。また、通信ユニット30は、通信ネットワーク200を介して、交通情報サーバー210、車両管理サーバー211等との間で通信を行う。 The communication unit 30 performs short-range wireless communication using specifications such as Bluetooth (registered trademark) and UWB (Ultra Wide Band) between the vehicle 100 and the wearable device 160 (smart watch, etc.) worn by the driver D. The communication unit 30 also communicates with the traffic information server 210, vehicle management server 211, etc. via the communication network 200.

 カメラ31は、通信端末1が端末ホルダ150(図1参照)に装着された状態で、運転者Dを撮影する。加速度センサ32は、例えば6軸(前後・左右・上下の各軸方向の加速度と、各軸の角速度)を検出する。GNSSセンサ33は、通信端末1の位置を検出する。通信端末1が端末ホルダ150に装着された状態では、GNSSセンサ33の検出位置は、車両100の現在位置となる。ディスプレイ34は、タッチパネル仕様であり、運転者Dは、ディスプレイ34のタッチ操作により、運転者モニタ装置2の機能の使用と停止等を指示する。 Camera 31 captures an image of driver D when communication terminal 1 is attached to terminal holder 150 (see Figure 1). Acceleration sensor 32 detects, for example, six axes (acceleration in each of the longitudinal, lateral, and vertical directions, and angular velocity about each axis). GNSS sensor 33 detects the position of communication terminal 1. When communication terminal 1 is attached to terminal holder 150, the position detected by GNSS sensor 33 becomes the current position of vehicle 100. Display 34 is a touch panel, and driver D can use touch operations on display 34 to instruct use and stop of functions of driver monitoring device 2.

 メモリ20には、運転者モニタ装置2のアプリケーションのプログラム21と、危険スコアが時系列に記録された危険スコア時系列データ22が保存されている。プロセッサ10は、プログラム21を読み込んで実行することにより、移動体挙動レベル認識部11、生体情報取得部12、危険スコア算出部13、危険スコア情報蓄積部14、体調関連指標算出部15、及びアドバイス報知部16として機能する。 Memory 20 stores application program 21 for driver monitoring device 2 and risk score time series data 22 in which risk scores are recorded in chronological order. By loading and executing program 21, processor 10 functions as a mobile object behavior level recognition unit 11, biometric information acquisition unit 12, risk score calculation unit 13, risk score information storage unit 14, physical condition-related index calculation unit 15, and advice notification unit 16.

 移動体挙動レベル認識部11により実行される処理は、本開示の運転者モニタ方法における移動体挙動認識ステップに相当し、危険スコア算出部13により実行される処理は、本開示の運転者モニタ方法における危険スコア算出ステップに相当する。体調関連指標算出部15により実行される処理は、本開示の運転者モニタ方法における体調関連指標算出ステップに相当する。 The processing performed by the mobile object behavior level recognition unit 11 corresponds to the mobile object behavior recognition step in the driver monitoring method of the present disclosure, and the processing performed by the risk score calculation unit 13 corresponds to the risk score calculation step in the driver monitoring method of the present disclosure. The processing performed by the physical condition-related index calculation unit 15 corresponds to the physical condition-related index calculation step in the driver monitoring method of the present disclosure.

 移動体挙動レベル認識部11は、加速度センサ32の検出信号に基づいて車両100の加速度を認識する。また、移動体挙動レベル認識部11は、GNSSセンサ33により検出される車両100の位置と、交通情報サーバー210から受信して取得した地図データMadとに基づいて、車両100の発信と停止、及び車両100が走行している道路の状況を認識する。 The mobile object behavior level recognition unit 11 recognizes the acceleration of the vehicle 100 based on the detection signal of the acceleration sensor 32. In addition, the mobile object behavior level recognition unit 11 recognizes the departure and stopping of the vehicle 100 and the condition of the road on which the vehicle 100 is traveling based on the position of the vehicle 100 detected by the GNSS sensor 33 and the map data Mad received and acquired from the traffic information server 210.

 そして、移動体挙動レベル認識部11は、車両100の加速度と車両100が走行している道路の状況とに基づいて、危険リスクの構成要素である、第1要素:発進時の加速度、第2要素:停止時の減速度、第3要素:右左折時の横G(遠心加速度)、及び第4要素:直線道路及びワインディング道路走行時の横G、のレベルを認識する。ここで、発進、停止、右左折、及び、直線道路とワインディング道路走行時の左右のふらつきは、本開示の移動体の所定挙動に相当する。 Then, based on the acceleration of the vehicle 100 and the conditions of the road on which the vehicle 100 is traveling, the mobile body behavior level recognition unit 11 recognizes the levels of the following components of danger risk: first element: acceleration when starting; second element: deceleration when stopping; third element: lateral G (centrifugal acceleration) when turning right or left; and fourth element: lateral G when traveling on straight roads and winding roads. Here, starting, stopping, turning right or left, and left and right sway when traveling on straight roads and winding roads correspond to the predetermined behavior of the mobile body disclosed herein.

 図3は、運転に関わる人の能力と、運転者に対するアドバイス項目と、危険スコアの構成要素との対応を示したものである。図3に示したように、上記第1要素~第4要素に対応する所定挙動は、所定挙動のレベルに影響すると想定される運転者の運転に関わる能力の種類(計画、知覚、注意、判断、操作)と対応付けられている。 Figure 3 shows the correspondence between a person's driving abilities, advice items for the driver, and components of the risk score. As shown in Figure 3, the predetermined behaviors corresponding to the first to fourth elements are associated with the types of driving abilities (planning, perception, attention, judgment, operation) that are assumed to affect the level of the predetermined behavior.

 生体情報取得部12は、カメラ31により撮影される運転者Dの顔画像を、運転者Dの生体情報として取得し、ウェアラブルデバイス160から送信される生体情報Cmdを受信して取得する。生体情報Cmdは、ウェアラブルデバイス160に備えられたバイタルセンサにより検出される、運転者Dの心拍数、血圧、体温等の検出値を示す。なお、生体情報取得部12が、車両100の運転者モニタカメラ131による運転者Dの撮影画像や、車両100に備えられたバイタルセンサにより検出される心拍数、血圧、対応等の検出情報を、車両100から受信して取得してもよい。 The biometric information acquisition unit 12 acquires the facial image of driver D captured by the camera 31 as biometric information of driver D, and receives and acquires biometric information Cmd transmitted from the wearable device 160. The biometric information Cmd indicates detected values of driver D, such as heart rate, blood pressure, and body temperature, detected by a vital sensor provided in the wearable device 160. Note that the biometric information acquisition unit 12 may also receive and acquire from the vehicle 100 an image of driver D captured by the driver monitor camera 131 of the vehicle 100, and detected information such as heart rate, blood pressure, and posture detected by a vital sensor provided in the vehicle 100.

 危険スコア算出部13は、車両100の走行中に移動体挙動レベル認識部11により認識される上記第1要素~第4要素のレベルを、1日単位でメモリ20に保存する。そして、危険スコア算出部13は、保存した1日単位の上記第1要素~第4要素のレベルの測定データから、以下の式(1)により、危険スコアF(a,b)を算出する。
 但し、F(a,b):危険スコア、a:発進時の加速度の平均、α:aの重み付け係数、b:発進時の加速度の標準偏差、β:bの重み付け係数、a:停止時の減速後の平均、α:aの重み付け係数、b:停止時の減速度の標準偏差、β:bの重み付け係数、a:右左折時の横Gの平均値、α:aの重み付け係数、b:右左折時の横Gの標準偏差、β:bの重み付け係数、a:直線、ワインディング時の横Gの平均値、α:aの重み付け係数、b:直線、ワインディング時の横Gの標準偏差、β:bの重み付け係数。
 重み付け係数α~αとβ~βは、運転者Dの体調に対する影響度に応じて設定される。
The risk score calculation unit 13 stores the levels of the first to fourth elements recognized by the mobile body behavior level recognition unit 11 on a daily basis in the memory 20 while the vehicle 100 is traveling. Then, the risk score calculation unit 13 calculates a risk score F(a, b) from the stored measurement data of the levels of the first to fourth elements on a daily basis using the following formula (1).
where F(a, b): danger score, a1 : average acceleration at starting, α1: weighting coefficient for a1 , b1 : standard deviation of acceleration at starting, β1 : weighting coefficient for b1 , a2 : average after deceleration at stopping, α2 : weighting coefficient for a2 , b2 : standard deviation of deceleration at stopping, β2 : weighting coefficient for b2 , a3 : average value of lateral G when turning right or left, α3 : weighting coefficient for a3 , b3 : standard deviation of lateral G when turning right or left, β3 : weighting coefficient for b3 , a4 : average value of lateral G on straight and winding roads, α4 : weighting coefficient for a4 , b4 : standard deviation of lateral G on straight and winding roads, β4 : weighting coefficient for b4 .
The weighting coefficients α 1 to α 4 and β 1 to β 4 are set according to the degree of influence on the physical condition of the driver D.

 また、危険スコアの算出に使用する構成要素として、生体情報取得部12により取得される運転者Dの生体情報を用いてもよく、この場合は、上記(1)に、各生体情報の検出レベルについての要素が追加される。 Furthermore, the biometric information of driver D acquired by the biometric information acquisition unit 12 may be used as a component for calculating the risk score. In this case, an element regarding the detection level of each piece of biometric information is added to (1) above.

 危険スコア情報蓄積部14は、危険スコア算出部13により算出された1日単位の時系列の危険スコアF(a,b)の情報を、危険スコア時系列データ22に随時記録して保存する。図4のA1は、1日単位の時系列の危険スコアの変化を、縦軸を危険スコアに設定し、横軸を測定日に設定して、模式的に示したものである。 The risk score information storage unit 14 records and saves information on the risk score F(a, b) calculated by the risk score calculation unit 13 in a daily time series as risk score time series data 22. A1 in Figure 4 is a schematic diagram showing changes in the risk score in a daily time series, with the vertical axis representing the risk score and the horizontal axis representing the measurement date.

 体調関連指標算出部15は、危険スコア時系列データ22に記録された所定の判定期間(例えば、1か月)における危険スコアの体調起因運転リスクとして、図4のA2に示した確率密度を算出する。図4のA2は、縦軸を危険スコアに設定し、横軸を確立分布に設定したグラフである。A2の限界危険スコアは、体調起因運転リスク(斜線部の面積)が限界危険レベルとなる判定値である。アドバイス報知部16は、上述したように、運転アドバイス情報と体調アドバイス情報をディスプレイ34に表示する。 The physical condition-related index calculation unit 15 calculates the probability density shown in A2 of Figure 4 as the physical condition-related driving risk of the risk score for a predetermined judgment period (e.g., one month) recorded in the risk score time series data 22. A2 of Figure 4 is a graph with the vertical axis set to the risk score and the horizontal axis set to the probability distribution. The limit risk score of A2 is the judgment value at which the physical condition-related driving risk (area of the shaded area) becomes the limit risk level. The advice notification unit 16 displays driving advice information and physical condition advice information on the display 34, as described above.

 [3.運転者モニタ処理]
 図5に示したフローチャートに従って、運転者モニタ装置2により実行される運転者モニタ処理の手順について説明する。ステップS1で、移動体挙動レベル認識部11は、上記式(1)による危険スコアF(a,b)の算出に使用される、上記第1要素~第4要素のレベルを測定する(1日分)。続くステップS2で、危険スコア算出部13は、移動体挙動レベル認識部11により測定された1日分の上記第1要素~第4要素のレベルの測定値に基づいて、上記式(1)により、危険スコアを算出する。また、危険スコア情報蓄積部14は、危険スコア算出部により算出された危険スコアの情報を、メモリ20に保存された危険スコア時系列データ22に記録する。
[3. Driver Monitor Processing]
The steps of the driver monitoring process executed by the driver monitoring device 2 will be described with reference to the flowchart shown in Figure 5. In step S1, the mobile object behavior level recognition unit 11 measures the levels of the first to fourth elements (for one day) used to calculate the risk score F(a, b) using the above formula (1). In the following step S2, the risk score calculation unit 13 calculates a risk score using the above formula (1) based on the measured values of the levels of the first to fourth elements for one day measured by the mobile object behavior level recognition unit 11. In addition, the risk score information accumulation unit 14 records information on the risk score calculated by the risk score calculation unit in the risk score time-series data 22 stored in the memory 20.

 次のステップS3で、体調関連指標算出部15は、判定期間分(例えば、1か月分)の危険スコアが危険スコア時系列データ22に記録されたときに、ステップS4に処理を進め、判定期間分の危険スコアが危険スコア時系列データ22に未だ記録されていないときには、ステップS1に処理を進める。 In the next step S3, the health-related index calculation unit 15 proceeds to step S4 when risk scores for the judgment period (e.g., one month) have been recorded in the risk score time series data 22, and proceeds to step S1 when risk scores for the judgment period have not yet been recorded in the risk score time series data 22.

 ステップS4で、体調関連指標算出部15は、判定期間分の危険スコアのばらつき度合を算出する。ばらつき度合は例えば標準偏差であり、ばらつき度合は、本開示の体調関連指標に相当する。続くステップS5で、アドバイス報知部16は、危険スコアのばらつき度合が所定度合以上であるか否かを判断する。 In step S4, the health-related index calculation unit 15 calculates the degree of variation in the risk scores for the judgment period. The degree of variation is, for example, a standard deviation, and corresponds to the health-related index of the present disclosure. In the following step S5, the advice notification unit 16 determines whether the degree of variation in the risk scores is equal to or greater than a predetermined degree.

 そして、アドバイス報知部16は、危険スコアのばらつき度合が所定度合以上であるときはステップS10に処理を進め、危険スコアのばらつき度合が所定度合未満であるときには、ステップS6に処理を進める。ステップS10で、アドバイス報知部16は、体調アドバイス情報を、ディスプレイ34に表示してステップS6に処理を進める。ここで、危険スコアのばらつき度合が所定度合以上であるときは、運転者Dの日々の運転のムラが大きく、運転者の体調不良が疑われる。そこで、体調アドバイス情報の表示によって、体調の改善対策等を運転者Dに促すことによって、運転者Dの体調を良好に維持すると共に、運転の安全性の維持を図ることができる。 Then, if the degree of variation in the risk scores is equal to or greater than a predetermined degree, the advice notification unit 16 proceeds to step S10, and if the degree of variation in the risk scores is less than the predetermined degree, the advice notification unit 16 proceeds to step S6. In step S10, the advice notification unit 16 displays physical condition advice information on the display 34 and proceeds to step S6. Here, if the degree of variation in the risk scores is equal to or greater than a predetermined degree, there is a large inconsistency in driver D's daily driving, and the driver's physical condition is suspected to be poor. Therefore, by displaying physical condition advice information and encouraging driver D to take measures to improve his or her physical condition, it is possible to maintain driver D's good physical condition and ensure safe driving.

 ステップS6で、体調関連指標算出部15は、図4のA2に示したように、限界スコア以上の範囲(斜線部の範囲)の面積を、体調起因運転リスクとして算出する。体調起因運転リスクは、本開示の体調関連指標に相当する。続くステップS7で、アドバイス報知部16は、体調起因運転リスクが判定レベル以上であるか否かを判断する。そして、アドバイス報知部16は、体調起因運転リスクが判定レベル以上であるときはステップS20に処理を進め、体調起因運転リスクが判定値未満であるときにはステップS8に処理を進める。 In step S6, the physical condition-related index calculation unit 15 calculates the area of the range above the limit score (the shaded area) as the physical condition-related driving risk, as shown in A2 of Figure 4. The physical condition-related driving risk corresponds to the physical condition-related index of the present disclosure. In the following step S7, the advice notification unit 16 determines whether the physical condition-related driving risk is above the judgment level. If the physical condition-related driving risk is above the judgment level, the advice notification unit 16 proceeds to step S20, and if the physical condition-related driving risk is below the judgment value, the advice notification unit 16 proceeds to step S8.

 ステップS20で、アドバイス報知部16は、車両100が運転中であるか否かを判断する。アドバイス報知部16は、車両100と通信端末1との通信状況によって通信端末1が車両100の車室内で使用されているか否かを認識し、通信端末1が車両100の車室内で使用されていることを認識している状態である場合に、GNSSセンサ33による検出位置の変化の有無によって車両100が運転中であるか否かを判断する。 In step S20, the advice notification unit 16 determines whether the vehicle 100 is being driven. Based on the communication status between the vehicle 100 and the communication terminal 1, the advice notification unit 16 recognizes whether the communication terminal 1 is being used inside the vehicle 100, and if it recognizes that the communication terminal 1 is being used inside the vehicle 100, it determines whether the vehicle 100 is being driven based on whether there is a change in the position detected by the GNSS sensor 33.

 アドバイス報知部16は、車両100が運転中であるときはステップS22に処理を進め、車両100が運転中でないときにはステップS21に処理を進める。ステップS22で、アドバイス報知部16は、体調起因運転リスクに応じた運転アドバイス情報を、ディスプレイ34に表示して運転者Dに対する注意喚起を行い、ステップS8に処理を進める。ステップS21で、アドバイス報知部16は、体調起因運転リスクに応じた体調アドバイス情報を、ディスプレイ34に表示して運転者Dに体調改善のアドバイス等を行い、ステップS8に処理を進める。 If the vehicle 100 is being driven, the advice notification unit 16 proceeds to step S22; if the vehicle 100 is not being driven, the advice notification unit 16 proceeds to step S21. In step S22, the advice notification unit 16 displays driving advice information corresponding to the driving risk due to physical condition on the display 34 to alert the driver D, and the process proceeds to step S8. In step S21, the advice notification unit 16 displays physical condition advice information corresponding to the driving risk due to physical condition on the display 34 to give advice to the driver D to improve their physical condition, and the process proceeds to step S8.

 [3.他の実施形態]
 上記実施形態では、体調関連指標算出部15は、本開示の運転者Dの体調に関する所定指標として、図5のステップS4で危険スコアのばらつき度合を算出し、図5のステップS6で体調起因運転リスクを算出したが、他の演算処理によって所定指標を算出してもよい。
3. Other Embodiments
In the above embodiment, the health-related index calculation unit 15 calculated the degree of variation in the danger score in step S4 of Figure 5 as a predetermined index related to the health of driver D of the present disclosure, and calculated the health-related driving risk in step S6 of Figure 5, but the predetermined index may also be calculated by other calculation processing.

 上記実施形態では、アドバイス報知部16を備えて、ディスプレイ34に、体調アドバイス情報と運転アドバイス情報を表示したが、体調アドバイス情報と運転アドバイス情報のうちのいずれか一方のみを表示してもよい。また、体調アドバイス情報と運転アドバイス情報を、ディスプレイ34による表示ではなく、或いはディスプレイ34による表示と共に、スピーカー35からの音声出力により行ってもよい。 In the above embodiment, the advice notification unit 16 is provided and displays physical condition advice information and driving advice information on the display 34, but it is also possible to display only one of the physical condition advice information and driving advice information. Furthermore, the physical condition advice information and driving advice information may be output as audio from the speaker 35 rather than being displayed on the display 34, or in addition to being displayed on the display 34.

 上記実施形態では、通信端末1の機能として運転者モニタ装置2を構成した。他の実施形態として、本開示の運転者モニタ装置を、車両100に備えられたECU110等の車載装置の機能として、或いは専用の車載装置により構成としてもよい。この場合は、車載装置が、車両100に備えられた加速度センサ134により、危険スコアの構成要素を測定し、ディスプレイ132に体調アドバイス情報と運転アドバイス情報を表示する構成となる。 In the above embodiment, the driver monitoring device 2 was configured as a function of the communication terminal 1. In another embodiment, the driver monitoring device of the present disclosure may be configured as a function of an on-board device such as the ECU 110 provided in the vehicle 100, or as a dedicated on-board device. In this case, the on-board device measures the components of the risk score using the acceleration sensor 134 provided in the vehicle 100, and displays physical condition advice information and driving advice information on the display 132.

 また、本開示の運転者モニタ装置を、車両管理サーバー211等のサーバーの機能として構成してもよい。この場合、サーバーが、車両100或いは通信端末1で検出される加速度の検出データを、通信ネットワーク200を介して受信して取得することにより、危険スコアの構成要素を測定する構成し、体調アドバイス情報と運転アドバイス情報を、車両100或いは通信端末1に送信する構成となる。 The driver monitoring device of the present disclosure may also be configured as a function of a server such as the vehicle management server 211. In this case, the server is configured to measure the components of the risk score by receiving and acquiring acceleration detection data detected by the vehicle 100 or communication terminal 1 via the communication network 200, and to transmit physical condition advice information and driving advice information to the vehicle 100 or communication terminal 1.

 なお、図2は、本願発明の理解を容易にするために、運転者モニタ装置2の構成を、主な処理内容により区分して示した概略図であり、運転者モニタ装置2の構成を他の区分によって構成してもよい。また、各構成要素の処理は、1つのハードウェアユニットにより実行されてもよいし、複数のハードウェアユニットにより実行されてもよい。また、図5に示した各構成要素による処理は、1つのプログラムにより実行されてもよいし、複数のプログラムにより実行されてもよい。 Note that Figure 2 is a schematic diagram showing the configuration of the driver monitoring device 2 divided by main processing content to facilitate understanding of the present invention, and the configuration of the driver monitoring device 2 may also be divided into other categories. Furthermore, the processing of each component may be performed by a single hardware unit or multiple hardware units. Furthermore, the processing of each component shown in Figure 5 may be performed by a single program or multiple programs.

 [4.上記実施形態によりサポートされる構成]
 上記実施形態は、以下の構成の具体例である。
4. Configurations supported by the above embodiment
The above embodiment is a specific example of the following configuration.

 (構成1)運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、を備える運転者モニタ装置。
 構成1の運転者モニタ装置によれば、運転者の運転状況に応じた移動体の所定挙動のレベルを認識して、危険スコアを算出することにより、運転者の体調管理に活用し得る指標を算出することができる。
(Configuration 1) A driver monitoring device comprising: a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by a driver; a risk score calculation unit that calculates a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit; and a health condition related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.
According to the driver monitoring device of configuration 1, by recognizing the level of a predetermined behavior of a moving body according to the driving situation of the driver and calculating a risk score, it is possible to calculate an index that can be used to manage the driver's physical condition.

 (構成2)前記体調関連指標算出部は、前記所定指標として、前記運転者の体調に起因する前記移動体の運転リスクの指標である体調起因運転リスクを算出する構成1に記載の運転者モニタ装置。
 構成2の運転者モニタ装置によれば、運転者の運転リスクの指標として活用し得る体調起因運転リスクを算出することができる。
(Configuration 2) The driver monitoring device according to Configuration 1, wherein the physical condition-related index calculation unit calculates, as the predetermined index, a physical condition-attributed driving risk, which is an index of the driving risk of the moving body caused by the physical condition of the driver.
According to the driver monitoring device of configuration 2, it is possible to calculate a driving risk attributable to physical condition, which can be used as an index of the driver's driving risk.

 (構成3)前記所定挙動は、前記所定挙動のレベルに影響すると想定される前記運転者の運転に関わる能力の種別と対応付けられている構成1又は構成2に記載の運転者モニタ装置。
 構成3の運転者モニタ装置によれば、運転者の体調に応じて変動する運転に関わる能力と対応付けられた所定挙動を採用することにより、運転者の体調に基づく危険スコアを算出することができる。
(Configuration 3) The driver monitoring device according to Configuration 1 or 2, wherein the predetermined behavior is associated with a type of driving ability of the driver that is assumed to affect the level of the predetermined behavior.
According to the driver monitoring device of configuration 3, by adopting predetermined behaviors associated with driving-related abilities that change depending on the driver's physical condition, a risk score based on the driver's physical condition can be calculated.

 (構成4)前記危険スコア算出部は、複数種類の前記所定挙動のレベルについて、前記運転者の体調に対する影響度に応じた重み付けを行って、前記危険スコアを算出する構成1から構成3のうちいずれか1つの構成に記載の運転者モニタ装置。
 運転者モニタ装置によれば、運転者の体調に対する影響度に応じた重み付けを行うことにより、運転者の体調と危険スコアとの相関性を高めることができる。
(Configuration 4) A driver monitoring device described in any one of configurations 1 to 3, in which the risk score calculation unit calculates the risk score by weighting the levels of multiple types of the specified behavior according to the degree of impact on the driver's physical condition.
According to the driver monitoring device, by weighting according to the degree of influence on the driver's physical condition, it is possible to increase the correlation between the driver's physical condition and the risk score.

 (構成5)前記危険スコア算出部は、所定の測定期間において前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記危険スコアを算出し、前記危険スコア算出部により前記測定期間ごとに算出された複数の前記危険スコアを、記憶部に保存する危険スコア情報蓄積部を備え、前記体調関連指標算出部は、前記記憶部に保存された複数の前記危険スコアに基づいて、前記所定指標を算出する構成1から構成4のうちいずれか1つの構成に記載の運転者モニタ装置。
 構成5の運転者モニタ装置によれば、測定期間における運転者の体調の突発的な変動の影響を抑制して、所定指標を算出することができる。
(Configuration 5) A driver monitoring device described in any one of configurations 1 to 4, wherein the risk score calculation unit calculates the risk score based on the level of the specified behavior recognized by the mobile body behavior level recognition unit during a specified measurement period, and includes a risk score information storage unit that stores the multiple risk scores calculated by the risk score calculation unit for each measurement period in a memory unit, and the physical condition-related index calculation unit calculates the specified index based on the multiple risk scores stored in the memory unit.
According to the driver monitoring device of configuration 5, it is possible to calculate the predetermined index while suppressing the influence of sudden changes in the physical condition of the driver during the measurement period.

 (構成6)前記体調関連指標算出部は、前記所定指標として、前記記憶部に保存された複数の前記危険スコアのばらつき度合を算出し、前記ばらつき度合が所定度合以上であるときに、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える構成5に記載の運転者モニタ装置。
 構成6の運転者モニタ装置によれば、危険スコアのばらつき度合が大きいことから、運転者の体調が不安定であると推測される場合に、体調アドバイス情報の提供により、運転者に対して体調の改善を促すことができる。
(Configuration 6) The driver monitoring device described in Configuration 5 is equipped with an advice notification unit, in which the physical condition-related index calculation unit calculates the degree of variation of the multiple risk scores stored in the memory unit as the specified index, and when the degree of variation is greater than or equal to a specified degree, outputs physical condition advice information that notifies advice regarding the driver's physical condition from an alarm device used by the driver.
According to the driver monitoring device of configuration 6, when the degree of variation in the danger score is large and it is assumed that the driver's physical condition is unstable, the driver can be encouraged to improve his or her physical condition by providing physical condition advice information.

 (構成7)前記運転者の生体情報を取得する生体情報取得部を備え、前記体調関連指標算出部は、前記危険スコアと前記生体情報とに基づいて、前記所定指標を算出する構成1から構成6のうちいずれか1つの構成に記載の運転者モニタ装置。
 構成7の運転者モニタ装置によれば、運転者の生体情報を用いることにより、運転者の体調と所定指標との相関性を高めることができる。
(Configuration 7) A driver monitoring device described in any one of configurations 1 to 6, which is provided with a biometric information acquisition unit that acquires biometric information of the driver, and the health-related index calculation unit calculates the specified index based on the risk score and the biometric information.
According to the driver monitoring device of configuration 7, by using the driver's biological information, it is possible to increase the correlation between the driver's physical condition and the predetermined index.

 (構成8)前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記運転者の運転に関するアドバイスを報知する運転アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える構成2に記載の運転者モニタ装置。
 構成8の運転者モニタ装置によれば、体調起因運転リスクが高くなったことから、運転者の運転能力の低下が推測される場合に、運転アドバイス情報の提供により、運転者に対して注意を促すことができる。
(Configuration 8) A driver monitoring device as described in Configuration 2, which is equipped with an advice notification unit that outputs driving advice information that notifies the driver of driving advice from an alarm device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level.
According to the driver monitoring device of configuration 8, when the driver's driving ability is predicted to decline due to an increase in driving risk caused by physical condition, the driver can be alerted by providing driving advice information.

 (構成9)前記アドバイス報知部は、前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記移動体が運転中であるときは、前記運転アドバイス情報を前記報知装置から出力し、前記移動体が運転中でないときには、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記報知装置から出力する構成8に記載の運転者モニタ装置。
 構成9の運転者モニタ装置によれば、運転者が運転中であるときは運転に関するアドバイスを優先的に行い、運転者が運転中でないときには体調に関するアドバイスを優先的に行うことができる。
(Configuration 9) A driver monitoring device as described in Configuration 8, wherein the advice notification unit outputs the driving advice information from the notification device when the moving body is being driven and the driving risk due to physical condition calculated by the physical condition-related index calculation unit is at or above a predetermined level, and when the moving body is not being driven, outputs physical condition advice information from the notification device that notifies advice regarding the driver's physical condition.
According to the driver monitoring device of configuration 9, when the driver is driving, advice regarding driving is given priority, and when the driver is not driving, advice regarding physical condition is given priority.

 (構成10)前記アドバイス報知部は、体調関連指標算出部により算出された、前記体調起因運転リスクのレベルに応じて、前記運転アドバイス情報と前記体調アドバイス情報の出力態様を変更する構成9に記載の運転者モニタ装置。
 構成10の運転者モニタ装置によれば、出力態様の変更によって、体調起因運転リスクのレベルの変化を運転者に認識させることができる。
(Configuration 10) A driver monitoring device as described in Configuration 9, in which the advice notification unit changes the output mode of the driving advice information and the physical condition advice information depending on the level of the driving risk caused by the physical condition calculated by the physical condition-related index calculation unit.
According to the driver monitoring device of configuration 10, by changing the output mode, the driver can be made aware of a change in the level of driving risk caused by physical condition.

 (構成11)コンピュータにより実行される運転者モニタ方法であって、運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識ステップと、前記移動体挙動レベル認識ステップにより認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出ステップと、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出ステップと、を含む運転者モニタ方法。
 構成11の運転者モニタ方法をコンピュータにより実行することによって、構成1の運転者モニタ装置と同様の作用効果を得ることができる。
(Configuration 11) A driver monitoring method executed by a computer, comprising: a mobile body behavior level recognition step for recognizing a level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by the driver; a risk score calculation step for calculating a risk score related to the driving of the mobile body by the driver based on the level of the predetermined behavior recognized by the mobile body behavior level recognition step; and a health condition related index calculation step for calculating a predetermined index related to the driver's health condition based on the risk score.
By executing the driver monitoring method of configuration 11 by a computer, the same effects as those of the driver monitoring device of configuration 1 can be obtained.

 (構成12)コンピュータを、運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、して機能させるプログラム。
 構成12のプログラムをコンピュータにより実行することによって、構成1の運転者モニタ装置の構成を実現することができる。
(Configuration 12) A program that causes a computer to function as a mobile body behavior level recognition unit that recognizes the level of a predetermined behavior of a mobile body in accordance with the driving operation of the mobile body by the driver, a risk score calculation unit that calculates a risk score related to the driver's driving of the mobile body based on the level of the predetermined behavior recognized by the mobile body behavior level recognition unit, and a health condition related index calculation unit that calculates a predetermined index related to the driver's health condition based on the risk score.
The configuration of the driver monitoring device of configuration 1 can be realized by executing the program of configuration 12 by a computer.

 本開示の運転者モニタ装置、運転者モニタ方法、及びプログラムは、運転者の運転状況に応じて、運転者の体調管理に活用し得る指標を算出する用途に活用することができる。 The driver monitoring device, driver monitoring method, and program disclosed herein can be used to calculate indicators that can be used to manage the driver's physical condition, depending on the driver's driving conditions.

 1…通信端末、2…運転者モニタ装置、10…プロセッサ、11…移動体挙動レベル認識部、12…生体情報取得部、13…危険スコア算出部、14…危険スコア情報蓄積部、15…体調関連指標算出部、16…アドバイス報知部、20…メモリ、21…プログラム、22…危険スコア時系列データ、30…通信ユニット、31…カメラ、32…加速度センサ、33…GNSSセンサ、34…ディスプレイ、35…スピーカー、100…車両、110…ECU、120…通信ユニット、121…ナビゲーション装置、130…フロントカメラ、131…運転者モニタカメラ、132…ディスプレイ、133a,133b…スピーカー、150…端末ホルダ、160…ウェアラブルデバイス、200…通信ネットワーク、210…交通情報サーバー、211…車両管理サーバー、D…運転者。 1...Communication terminal, 2...Driver monitoring device, 10...Processor, 11...Mobile object behavior level recognition unit, 12...Biometric information acquisition unit, 13...Danger score calculation unit, 14...Danger score information storage unit, 15...Physical condition related index calculation unit, 16...Advice notification unit, 20...Memory, 21...Program, 22...Danger score time series data, 30...Communication unit, 31...Camera, 32...Acceleration sensor, 33...GNSS sensor, 34...Display, 35...Speaker, 100...Vehicle, 110...ECU, 120...Communication unit, 121...Navigation device, 130...Front camera, 131...Driver monitoring camera, 132...Display, 133a, 133b...Speakers, 150...Terminal holder, 160...Wearable device, 200...Communication network, 210...Traffic information server, 211...Vehicle management server, D...Driver.

Claims (12)

 運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、
 前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、
 前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、
 を備える運転者モニタ装置。
a mobile object behavior level recognition unit that recognizes a level of a predetermined behavior of the mobile object in accordance with a driving operation of the mobile object by a driver;
a risk score calculation unit that calculates a risk score related to the driving of the moving object by the driver based on the level of the predetermined behavior recognized by the moving object behavior level recognition unit;
a physical condition-related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score;
A driver monitoring device comprising:
 前記体調関連指標算出部は、前記所定指標として、前記運転者の体調に起因する前記移動体の運転リスクの指標である体調起因運転リスクを算出する
 請求項1に記載の運転者モニタ装置。
The driver monitoring device according to claim 1 , wherein the physical condition-related index calculation unit calculates, as the predetermined index, a physical condition-related driving risk that is an index of a driving risk of the mobile object that is caused by the physical condition of the driver.
 前記所定挙動は、前記所定挙動のレベルに影響すると想定される前記運転者の運転に関わる能力の種別と対応付けられている
 請求項1又は請求項2に記載の運転者モニタ装置。
The driver monitoring device according to claim 1 or 2, wherein the predetermined behavior is associated with a type of driving ability of the driver that is assumed to affect a level of the predetermined behavior.
 前記危険スコア算出部は、複数種類の前記所定挙動のレベルについて、前記運転者の体調に対する影響度に応じた重み付けを行って、前記危険スコアを算出する
 請求項1又は請求項2に記載の運転者モニタ装置。
The driver monitoring device according to claim 1 or 2, wherein the risk score calculation unit calculates the risk score by weighting the levels of the plurality of types of predetermined behaviors according to the degree of influence on the physical condition of the driver.
 前記危険スコア算出部は、所定の測定期間において前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記危険スコアを算出し、
 前記危険スコア算出部により前記測定期間ごとに算出された複数の前記危険スコアを、記憶部に保存する危険スコア情報蓄積部を備え、
 前記体調関連指標算出部は、前記記憶部に保存された複数の前記危険スコアに基づいて、前記所定指標を算出する
 請求項1又は請求項2に記載の運転者モニタ装置。
the risk score calculation unit calculates the risk score based on the level of the predetermined behavior recognized by the mobile object behavior level recognition unit during a predetermined measurement period;
A risk score information storage unit stores the risk scores calculated for each measurement period by the risk score calculation unit in a storage unit,
The driver monitoring device according to claim 1 or 2, wherein the physical condition-related index calculation unit calculates the predetermined index based on a plurality of the risk scores stored in the storage unit.
 前記体調関連指標算出部は、前記所定指標として、前記記憶部に保存された複数の前記危険スコアのばらつき度合を算出し、
 前記ばらつき度合が所定度合以上であるときに、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える
 請求項5に記載の運転者モニタ装置。
the physical condition-related index calculation unit calculates, as the predetermined index, a degree of variation of the plurality of risk scores stored in the storage unit;
The driver monitoring device according to claim 5, further comprising an advice notification unit that outputs health advice information for notifying advice regarding the driver's health condition from a notification device used by the driver when the degree of variation is equal to or greater than a predetermined degree.
 前記運転者の生体情報を取得する生体情報取得部を備え、
 前記体調関連指標算出部は、前記危険スコアと前記生体情報とに基づいて、前記所定指標を算出する
 請求項1又は請求項2に記載の運転者モニタ装置。
a biometric information acquisition unit that acquires biometric information of the driver,
The driver monitoring device according to claim 1 or 2, wherein the physical condition-related index calculation unit calculates the predetermined index based on the risk score and the biological information.
 前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記運転者の運転に関するアドバイスを報知する運転アドバイス情報を、前記運転者により使用される報知装置から出力する、アドバイス報知部を備える
 請求項2に記載の運転者モニタ装置。
3. The driver monitoring device according to claim 2, further comprising an advice notification unit that outputs driving advice information that notifies the driver of driving advice from a notification device used by the driver when the driving risk due to physical condition calculated by the physical condition-related index calculation unit is equal to or higher than a predetermined level.
 前記アドバイス報知部は、前記体調関連指標算出部により算出された、前記体調起因運転リスクが所定レベル以上であるときに、前記移動体が運転中であるときは、前記運転アドバイス情報を前記報知装置から出力し、前記移動体が運転中でないときには、前記運転者の体調に関するアドバイスを報知する体調アドバイス情報を、前記報知装置から出力する
 請求項8に記載の運転者モニタ装置。
The driver monitoring device of claim 8, wherein the advice notification unit outputs the driving advice information from the notification device when the moving body is being driven and the driving risk due to physical condition calculated by the physical condition-related index calculation unit is equal to or higher than a predetermined level, and outputs physical condition advice information that notifies advice regarding the driver's physical condition from the notification device when the moving body is not being driven.
 前記アドバイス報知部は、体調関連指標算出部により算出された、前記体調起因運転リスクのレベルに応じて、前記運転アドバイス情報と前記体調アドバイス情報の出力態様を変更する
 請求項9に記載の運転者モニタ装置。
The driver monitoring device according to claim 9 , wherein the advice notification unit changes an output mode of the driving advice information and the physical condition advice information depending on the level of the driving risk due to physical condition calculated by the physical condition-related index calculation unit.
 コンピュータにより実行される運転者モニタ方法であって、
 運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識ステップと、
 前記移動体挙動レベル認識ステップにより認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出ステップと、
 前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出ステップと、
 を含む運転者モニタ方法。
1. A computer-implemented driver monitoring method, comprising:
a mobile object behavior level recognition step of recognizing a level of a predetermined behavior of the mobile object in accordance with a driving operation of the mobile object by a driver;
a risk score calculation step of calculating a risk score related to the driving of the moving object by the driver based on the level of the predetermined behavior recognized in the moving object behavior level recognition step;
a physical condition-related index calculation step of calculating a predetermined index related to the physical condition of the driver based on the risk score;
A driver monitoring method comprising:
 コンピュータを、
 運転者による移動体の運転操作に応じた、前記移動体の所定挙動のレベルを認識する移動体挙動レベル認識部と、
 前記移動体挙動レベル認識部により認識された前記所定挙動のレベルに基づいて、前記運転者による前記移動体の運転に関する危険スコアを算出する危険スコア算出部と、
 前記危険スコアに基づいて、前記運転者の体調に関する所定指標を算出する体調関連指標算出部と、
 して機能させるプログラム。
Computer,
a mobile object behavior level recognition unit that recognizes a level of a predetermined behavior of the mobile object in accordance with a driving operation of the mobile object by a driver;
a risk score calculation unit that calculates a risk score related to the driving of the moving object by the driver based on the level of the predetermined behavior recognized by the moving object behavior level recognition unit;
a physical condition-related index calculation unit that calculates a predetermined index related to the physical condition of the driver based on the risk score;
A program that makes it work.
PCT/JP2024/043496 2024-03-29 2024-12-10 Driver monitoring device, driver monitoring method, and program Pending WO2025203902A1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017145693A1 (en) * 2016-02-22 2017-08-31 パナソニックIpマネジメント株式会社 Safe driving assistance device and safe driving assistance method
WO2021251351A1 (en) * 2020-06-09 2021-12-16 株式会社日立物流 Operation support method, operation support system, and operation support server
WO2022201962A1 (en) * 2021-03-25 2022-09-29 パナソニックIpマネジメント株式会社 Driving characteristic assessment device, driving characteristic assessment method, and driving characteristic assessment program

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017145693A1 (en) * 2016-02-22 2017-08-31 パナソニックIpマネジメント株式会社 Safe driving assistance device and safe driving assistance method
WO2021251351A1 (en) * 2020-06-09 2021-12-16 株式会社日立物流 Operation support method, operation support system, and operation support server
WO2022201962A1 (en) * 2021-03-25 2022-09-29 パナソニックIpマネジメント株式会社 Driving characteristic assessment device, driving characteristic assessment method, and driving characteristic assessment program

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