[go: up one dir, main page]

WO2013025803A1 - Panneau publicitaire électronique intelligent en bord de route - Google Patents

Panneau publicitaire électronique intelligent en bord de route Download PDF

Info

Publication number
WO2013025803A1
WO2013025803A1 PCT/US2012/050942 US2012050942W WO2013025803A1 WO 2013025803 A1 WO2013025803 A1 WO 2013025803A1 US 2012050942 W US2012050942 W US 2012050942W WO 2013025803 A1 WO2013025803 A1 WO 2013025803A1
Authority
WO
WIPO (PCT)
Prior art keywords
car
advertisement
smart electronic
billboard
cars
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US2012/050942
Other languages
English (en)
Inventor
Eyal Shlomot
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority claimed from US13/586,016 external-priority patent/US20130060642A1/en
Publication of WO2013025803A1 publication Critical patent/WO2013025803A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F27/00—Combined visual and audible advertising or displaying, e.g. for public address
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09F—DISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F19/00—Advertising or display means not otherwise provided for
    • G09F19/22—Advertising or display means on roads, walls or similar surfaces, e.g. illuminated
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements

Definitions

  • the present invention relates to smart control of electronic roadside billboards and is targeted to maximize the value of advertisements presented on electronic roadside billboards by choosing the best advertisement for the population viewing the advertisements.
  • Roadside billboard are extensively used for effective advertisement all over the world.
  • Traditional roadside billboards are placed at strategic viewing locations and display large pictorial advertisements, printed or painted on paper, cloth, wood, plastic or any other material that is held by a supporting frame.
  • Recently new type of billboards, electronic roadside billboards are extensively installed, either as a replacement of existing traditional billboards or as newly placed billboards.
  • electronic roadside billboards display images, graphics or videos on light-emitting electronic displays. Construction and placement of electronic roadside billboards is considerably more expensive than the construction and placement of traditional roadside billboards. However, electronic roadside billboards can provide significant advertisement advantages and, assuming a reliable long-term operation, might be cheaper to operate in the long run.
  • a first advantage in using electronic roadside billboards is the simplicity and speed of changing or updating an advertisement.
  • Change of advertisement in traditional roadside billboards requires the physical painting or printing of the advertisement material and the manual labor of removing an old advertisement and replacing it with the newly prepared advertisement.
  • advertisements on electronic roadside billboards can be changed or updated simply and rapidly by electronically sending the new advertisement image, graphics or video to the electronic roadside billboards.
  • a second advantage of using electronic roadside billboards is the ability to display dynamic advertisements, including rapidly changing images, moving graphics or video clips. (It should be noted that in many jurisdictions displaying of videos and even rapidly changing images or moving graphics is prohibited by law, to avoid drivers distraction and the risk of traffic accidents.)
  • Targeted advertisement which addresses specific and relevant viewing population, is a key for modern and successful advertisement.
  • Electronic roadside billboards allow easy and frequent changes of advertisements, but they cannot be used for targeted advertisement since the viewing population of the displayed advertisements is unknown and therefore it is impossible to select the best advertisement for the viewing population. (The viewing population might only be anticipated by some general factors, such as the billboard location, hour of the day, local weather or local events.) Therefore, there is a need for an approach to provide more accurate information about the viewing population that is traveling by the electronic roadside billboards and therefore is likely to notice and be influenced by the displayed advertisements. This information may allow selecting and displaying, at any moment in time, the most suitable advertisement for the particular viewing population and therefore to maximize the effective value of the displayed advertisements.
  • FIG. 1 illustrates a schematic diagram of a conventional roadside billboard.
  • FIG. 2 illustrates a schematic diagram of a smart electronic roadside billboard.
  • FIG. 3 illustrates a general flowchart of the operations of a smart electronic roadside billboard.
  • the present invention is directed to a smart electronic roadside billboard system, which captures and analyzes visual information (such as pictures or videos) to provide information on a viewing population of travelers that pass through an effective viewing area for an electronic roadside billboard, and that selects an advertisement that is most suitable and effective (in some sense) for that viewing population.
  • visual information such as pictures or videos
  • the principles of the invention can obviously be applied beyond the specifically described embodiments of the invention described herein.
  • certain details have been left out in order to not obscure the inventive aspects of the invention. The details left out are within the knowledge of a person of ordinary skill in the art.
  • FIG. 1 shows a schematic diagram of a conventional (or electronic) roadside billboard 100.
  • the billboard is commonly placed near a curve in the road 102, which provides the best viewing conditions (the effective viewing area) for the people that travel in the cars 104.
  • FIG. 2 shows a schematic diagram of a smart electronic roadside billboard 200.
  • the smart electronic roadside billboard includes a camera 202 and a control unit 204.
  • the camera can be a video camera or a still camera.
  • the camera captures visual information such as pictures or videos of the cars advancing toward the smart electronic roadside billboard and provides the pictures, videos, or other information to the control unit.
  • the camera may be placed at some distance before the smart electronic road billboard, which means that it may capture pictures or videos of cars that will arrive later to the effective viewing area of the smart electronic road billboard.
  • the visual information will consist of all pictures and videos captured by all cameras.
  • one or more cameras may operate at an electromagnetic spectrum which is not visible by human, such as infrared of ultraviolet wavelengths, wherein the visual information will also consist on the pictures or videos obtained by cameras using such out- of-visible-light spectrum.
  • the visual information which is the digital representation of the pictures or videos captured by the camera or the multiple cameras, is processed by control unit 204.
  • the depiction of the control unit 204 in Fig. 2 is provided only as an example. In other configurations the processing may by distributed over several processing units or modules in different physical locations, including the camera-apparatuses themselves, a processing unit or several connected processing units dedicated to the smart electronic roadside billboard, or other processing units, local or remote, each carry part of the processing.
  • the goal of the processing is to analyze and extract identification characteristics about the passing cars, about the passengers, items or pets traveling in the cars or any other useful information that may have a value in making an advertisement decision or that may assist in the operation of the smart electronic road billboard.
  • the identification characteristics for any car may include the make
  • the identification characteristics may include the license plate registration number of the car or any other information that identifies the car.
  • the identification characteristics may include the number of passengers in the car, the age of any passenger in the cars, the gender of any passenger in the cars, the ethnic origin of any passenger in the car, or any other information about the passengers in the car that can have a value in making an advertisement decision. (A passenger is a person in the car that is the driver of the car or any other person in the car in addition to the driver.)
  • the identification characteristics may also include the presence of items in the car such as child seats, sport gear or technical gadgets (e.g., smartphone, GPS unit, music player, tablet, etc.), or any other information about any item in the car that may have a value in making an advertisement decision.
  • the identification characteristics may include the presence of any pet in the cars and the species and breed of any pet (a pet traveling in a car will most likely be a dog), or any other information about any pet in the car that can have a value in making an advertisement decision.
  • Scene analysis is a well known concept of using analytically and heuristically-formed algorithms to extract various characteristics from the visual information. It can use many concepts and multiple processing tools in numerous stages. For example, during day light, the car make, model and model-year may be identified by matching any car structural features contained in the visual information (e.g., shapes of windows, doors, front grills, wheels, roofs or trunks, or any other structural element of any car) to a pre-stored database of car structural features.
  • any car structural features contained in the visual information e.g., shapes of windows, doors, front grills, wheels, roofs or trunks, or any other structural element of any car
  • any car identification characteristics may be based on matching any light emitting elements contained in the visual information (e.g., head, tail, break, signaling or other lights) to a pre-stored database of car light emitting elements (such as relative positions, shape, or spectral attributes).
  • the identification characteristics of a passenger in the car such as age, gender or ethnic background may be extracted by examining body and facial parameters, which may consist of estimated height and weight, hair style and color, skin texture and tone, lips structuring and coloring, as well as by examining the clothes the passengers are wearing.
  • the number of passengers in the cars and other identification characteristics of any passenger in any car may be estimated using infrared imaging.
  • Items in the car such as child seats, sport gear or technical gadgets or any other items in any car may be identified by matching their structural features to a pre-stored database of structural features of such items.
  • any pet traveling in any car may be identified and its species and breed may be determined by analyzing the pet size, shape, color or facial features.
  • the identification characteristics are collected and analyzed to make a decision on which advertisement to display at each time, with the goal of choosing the best advertisements to maximize the advertisement value to the viewing population.
  • the advertisements to be displayed may be stored locally or in a remote location for transmission to the smart electronic roadside billboard via a communication link (not shown in Fig. 2), based on the decision made by the local processing unit or units, or by making the advertisement decision at a remote location.
  • the decision on which advertisement to display may be made using several criteria.
  • One criteria can be a value of a parameter. For example, upon finding a significantly higher ratio of female passengers to male passengers (or vice verse) traveling in the cars approaching the smart electronic roadside billboard, an advertisement that has a higher value for female viewers may be selected to be displayed on the smart electronic roadside billboard (or vice versa, if there are more male passengers than female passengers).
  • the choice of the advertisement may be based on several parameters, which together are used to make a decision on displaying a specific advertisement on the smart electronic roadside billboard. For example, upon the detection of several luxury cars with children traveling in these luxury cars, the selected advertisements might be for luxury toys, children vacations or other advertisements targeted for high-income families with children.
  • the decision may be made using any of the identification characteristics, and may be made based on the statistical properties of the identification characteristics, such as averages, maxima, outliers, or any other function derived from the identification characteristics.
  • the decision may be based on a pre-set criteria, which may be set according to advertisement and marketing researches, in order to display an advertisement that is considered to have the highest marketing value for the viewing population traveling in the cars as they approach the smart electronic roadside billboard.
  • the decision of which advertisement to display at each time can also consider some other general factors, which may include the location of the electronic billboard, hour of the day, local (or regional) weather conditions, or particular promotional and sale events.
  • FIG. 3 provides a general flowchart of the operations of a smart electronic roadside billboard.
  • the visual information of the cars approaching the smart electronic roadside billboard is captured.
  • the visual information may be captured by a single camera or by several cameras, which may be still cameras or video cameras.
  • the visual information may be in wavelengths visible by a human eye, or in wavelengths invisible to a human eye, such as infrared or ultraviolet lights.
  • the visual information is the digital representation of the pictures and/or the videos captured by the cameras.
  • identification characteristics are extracted from visual information, which may be done by a variety of scene analysis algorithms, The scene analysis results in identification characteristics for the cars and the passengers traveling in the cars, as well as items and pets that might be in the cars.
  • the identification characteristics are then used in step 304 to make a decision on the advertisement that will be displayed on the smart electronic roadside billboard.
  • the advertisement is selected to maximize the advertisement value for the viewing population that will be traveling through the effective viewing area when the advertisement is displayed.
  • the selected advertisement is then displayed on the electronic display of the smart electronic roadside billboard at step 306.
  • the processing is repeated for the next group of cars that will be approaching the effective viewing area and results in the selection of a new advertisement for this next group.
  • the time-period of showing each advertisement may depend on several factors.
  • One factor may be the size of the effective viewing area, which is the area where the viewing population can effectively view the smart electronic roadside billboard.
  • a billboard on a curve at the end of long straight stretch of a road will have a large effective viewing area and therefore each advertisement can be displayed longer than for a billboard with a smaller effective viewing area.
  • a billboard at an intersection may synchronize the change of advertisements with the traffic lights in the intersection.
  • another critical factor for the rate of change for advertisements might be the legal restrictions for such rate of change for electronic billboards in specific jurisdictions.
  • Fig. 3 The processing in Fig. 3 is depicted as a sequential processing, but it may also be done in parallel by different processing modules.
  • the control unit may be completing the extracting of the identification parameters and the selecting of the advertisement for the next group of cars, while the cameras may be capturing the visual information for a further next group of cars.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Controls And Circuits For Display Device (AREA)

Abstract

L'invention concerne un procédé permettant de sélectionner une publicité à afficher sur un panneau publicitaire électronique intelligent en bord de route. Le procédé consiste à capturer des informations visuelles de voitures se déplaçant sur une route et à utiliser les informations visuelles pour extraire des caractéristiques d'identification concernant les voitures, les passagers dans les voitures, ainsi que les articles ou les animaux de compagnie susceptibles de se trouver dans les voitures. Le procédé consiste également à utiliser les caractéristiques d'identification pour sélectionner une publicité à afficher sur le panneau publicitaire électronique intelligent en bord de route, de sorte que la publicité sélectionnée optimise la valeur de la publicité. Le procédé peut consister également à utiliser d'autres facteurs généraux et considérations de temps pour sélectionner et afficher une publicité. Le procédé peut être mis en œuvre par un appareil comprenant au moins une caméra qui capture les informations visuelles et au moins une unité de commande qui extrait les caractéristiques d'identification des informations visuelles et utilise les caractéristiques d'identification pour sélectionner la publicité à afficher sur le panneau publicitaire électronique intelligent en bord de route.
PCT/US2012/050942 2011-08-17 2012-08-15 Panneau publicitaire électronique intelligent en bord de route Ceased WO2013025803A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201161575205P 2011-08-17 2011-08-17
US61/575,205 2011-08-17
US13/586,016 2012-08-15
US13/586,016 US20130060642A1 (en) 2011-09-01 2012-08-15 Smart Electronic Roadside Billboard

Publications (1)

Publication Number Publication Date
WO2013025803A1 true WO2013025803A1 (fr) 2013-02-21

Family

ID=47715454

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2012/050942 Ceased WO2013025803A1 (fr) 2011-08-17 2012-08-15 Panneau publicitaire électronique intelligent en bord de route

Country Status (1)

Country Link
WO (1) WO2013025803A1 (fr)

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103474010A (zh) * 2013-09-22 2013-12-25 广州中国科学院软件应用技术研究所 一种基于视频分析的智能户外广告播放方法和装置
ITVI20130282A1 (it) * 2013-11-26 2015-05-27 Giovanni Luca Agostini Controllo automatico dei pannelli luminosi informativi e pubblicitari.
WO2017040924A1 (fr) * 2015-09-04 2017-03-09 Robert Bosch Gmbh Affichage de panneau, et procédé d'affichage sélectif de publicité par détection d'informations démographiques d'occupants de véhicules
US20190034967A1 (en) * 2017-07-28 2019-01-31 Nuro, Inc. Advertising on autonomous or semi-autonomous vehicle exterior
US10223998B2 (en) 2015-03-18 2019-03-05 The Painted City Incorporated Dynamic content analysis and engagement system for shared displays
US10332151B2 (en) 2014-05-28 2019-06-25 Blake F. Megdal Method and system for using media points to influence content delivery
US10331124B2 (en) 2017-07-20 2019-06-25 Nuro, Inc. Autonomous vehicle repositioning
WO2020045127A1 (fr) * 2018-08-30 2020-03-05 Sony Corporation Commande d'affichage de contenu interactif sur la base d'une direction de vision d'un occupant dans un véhicule
US10769660B2 (en) 2016-09-09 2020-09-08 International Business Machines Corporation Determining advertisement content based on cluster density within dynamic visibility fence
US10824862B2 (en) 2017-11-14 2020-11-03 Nuro, Inc. Three-dimensional object detection for autonomous robotic systems using image proposals
US10948916B2 (en) 2018-11-27 2021-03-16 International Business Machines Corporation Vehicular implemented projection
US11009868B2 (en) 2017-07-20 2021-05-18 Nuro, Inc. Fleet of autonomous vehicles with lane positioning and platooning behaviors
US11907887B2 (en) 2020-03-23 2024-02-20 Nuro, Inc. Methods and apparatus for unattended deliveries
US11964627B2 (en) 2019-09-30 2024-04-23 Nuro, Inc. Methods and apparatus for supporting compartment inserts in autonomous delivery vehicles

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2181507C2 (ru) * 1999-09-23 2002-04-20 Харченко Сергей Николаевич Стробоскопическое проекционное устройство
RU2284670C2 (ru) * 2000-11-17 2006-09-27 Якоб ВЕЙТМАН Мобильная цифровая камера, распознающая текстовую и графическую информацию в изображении
RU92226U1 (ru) * 2009-12-04 2010-03-10 ООО "Системы технического зрения" Система определения аудитории рекламных щитов
US20110018738A1 (en) * 2008-12-04 2011-01-27 Verizon Patent And Licensing, Inc. Motion controlled display
RU2420812C1 (ru) * 2010-06-30 2011-06-10 Илья Владимирович Балахничёв Способ отбора мест под наружную и внутреннюю рекламу для рекламодателей

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2181507C2 (ru) * 1999-09-23 2002-04-20 Харченко Сергей Николаевич Стробоскопическое проекционное устройство
RU2284670C2 (ru) * 2000-11-17 2006-09-27 Якоб ВЕЙТМАН Мобильная цифровая камера, распознающая текстовую и графическую информацию в изображении
US20110018738A1 (en) * 2008-12-04 2011-01-27 Verizon Patent And Licensing, Inc. Motion controlled display
RU92226U1 (ru) * 2009-12-04 2010-03-10 ООО "Системы технического зрения" Система определения аудитории рекламных щитов
RU2420812C1 (ru) * 2010-06-30 2011-06-10 Илья Владимирович Балахничёв Способ отбора мест под наружную и внутреннюю рекламу для рекламодателей

Cited By (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103474010A (zh) * 2013-09-22 2013-12-25 广州中国科学院软件应用技术研究所 一种基于视频分析的智能户外广告播放方法和装置
ITVI20130282A1 (it) * 2013-11-26 2015-05-27 Giovanni Luca Agostini Controllo automatico dei pannelli luminosi informativi e pubblicitari.
US10332151B2 (en) 2014-05-28 2019-06-25 Blake F. Megdal Method and system for using media points to influence content delivery
US10223998B2 (en) 2015-03-18 2019-03-05 The Painted City Incorporated Dynamic content analysis and engagement system for shared displays
WO2017040924A1 (fr) * 2015-09-04 2017-03-09 Robert Bosch Gmbh Affichage de panneau, et procédé d'affichage sélectif de publicité par détection d'informations démographiques d'occupants de véhicules
US10970747B2 (en) 2015-09-04 2021-04-06 Robert Bosch Gmbh Access and control for driving of autonomous vehicle
US10769660B2 (en) 2016-09-09 2020-09-08 International Business Machines Corporation Determining advertisement content based on cluster density within dynamic visibility fence
US11009868B2 (en) 2017-07-20 2021-05-18 Nuro, Inc. Fleet of autonomous vehicles with lane positioning and platooning behaviors
US10331124B2 (en) 2017-07-20 2019-06-25 Nuro, Inc. Autonomous vehicle repositioning
US11467574B2 (en) 2017-07-20 2022-10-11 Nuro, Inc. Infrastructure monitoring system on autonomous vehicles
US11449050B2 (en) 2017-07-20 2022-09-20 Nuro, Inc. Real-time violations and safety monitoring system on autonomous vehicles
US10328769B2 (en) 2017-07-28 2019-06-25 Nuro, Inc. Methods for interacting with autonomous or semi-autonomous vehicle
US10507787B2 (en) 2017-07-28 2019-12-17 Nuro, Inc. System and mechanism for upselling products on autonomous vehicles
US20190034967A1 (en) * 2017-07-28 2019-01-31 Nuro, Inc. Advertising on autonomous or semi-autonomous vehicle exterior
US11250489B2 (en) 2017-07-28 2022-02-15 Nuro, Inc. Flexible compartment design on autonomous and semi-autonomous vehicle
US11341560B2 (en) * 2017-07-28 2022-05-24 Nuro, Inc. Advertising on autonomous or semi-autonomous vehicle exterior
US10599156B2 (en) * 2017-07-28 2020-03-24 Nuro, Inc. Advertising on autonomous or semi-autonomous vehicle exterior
US10824862B2 (en) 2017-11-14 2020-11-03 Nuro, Inc. Three-dimensional object detection for autonomous robotic systems using image proposals
WO2020045127A1 (fr) * 2018-08-30 2020-03-05 Sony Corporation Commande d'affichage de contenu interactif sur la base d'une direction de vision d'un occupant dans un véhicule
US10948916B2 (en) 2018-11-27 2021-03-16 International Business Machines Corporation Vehicular implemented projection
US11964627B2 (en) 2019-09-30 2024-04-23 Nuro, Inc. Methods and apparatus for supporting compartment inserts in autonomous delivery vehicles
US11907887B2 (en) 2020-03-23 2024-02-20 Nuro, Inc. Methods and apparatus for unattended deliveries

Similar Documents

Publication Publication Date Title
US20130060642A1 (en) Smart Electronic Roadside Billboard
WO2013025803A1 (fr) Panneau publicitaire électronique intelligent en bord de route
US7319379B1 (en) Profile-based messaging apparatus and method
US6922138B2 (en) Vehicle specific messaging apparatus and method
CN201383313Y (zh) 互动广告牌以及网络式互动广告系统
CN107878311A (zh) 用于在车辆上投放主观消息的系统和方法
CN101512617B (zh) 行驶信息提供装置
US20150127460A1 (en) Targeted advertising based on physical traits and anticipated trajectory
CN108985194A (zh) 一种基于图像语义分割的智能车辆可行驶区域的识别方法
CN106210612A (zh) 视频编码方法、解码方法及其装置
US20130013402A1 (en) Advertisement display system
US11727809B2 (en) System for interaction between an autonomous vehicle and a vulnerable user
US11256926B2 (en) Method and system for analyzing the movement of bodies in a traffic system
EP3343474A1 (fr) Procédé d'exploitation de la capacité de dispositifs dans un domaine skiable, d'une foire, d'un parc d'attraction ou dans un stade
JP2019032739A (ja) 再生装置および再生方法ならびにそのプログラムならびに記録装置および記録装置の制御方法等
US11288519B2 (en) Object counting and classification for image processing
JP2022189378A (ja) 表示制御装置、速度制御装置、表示制御方法及びプログラム
KR20140068634A (ko) 지능형 광고를 위한 얼굴 영상 분석시스템
Hasan et al. Simultaneous traffic sign recognition and real-time communication using dual camera in its
US20210174101A1 (en) Information providing system, information providing method, information terminal, and information display method
US8326687B2 (en) Advertisement display system
CN114340952B (zh) 自动驾驶车辆与色盲步行者或骑行者之间的交互系统
US20250182440A1 (en) Removal of artifacts from images captured by sensors
CN209705885U (zh) 一种具有全息风扇屏的城市路灯
CN108648488A (zh) 一种扩大驾驶员视野范围的方法及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12824563

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12824563

Country of ref document: EP

Kind code of ref document: A1