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EP4436854A4 - Coding of relative object information into node boundary functions - Google Patents

Coding of relative object information into node boundary functions

Info

Publication number
EP4436854A4
EP4436854A4 EP22899261.6A EP22899261A EP4436854A4 EP 4436854 A4 EP4436854 A4 EP 4436854A4 EP 22899261 A EP22899261 A EP 22899261A EP 4436854 A4 EP4436854 A4 EP 4436854A4
Authority
EP
European Patent Office
Prior art keywords
coding
object information
relative object
boundary functions
node boundary
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.)
Pending
Application number
EP22899261.6A
Other languages
German (de)
French (fr)
Other versions
EP4436854A1 (en
Inventor
Gowtham Garimella
Marin Kobilarov
Morales Andres Guillermo Morales
Ethan Miller Pronovost
Kai Zhenyu Wang
Xiaosi Zeng
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.)
Zoox Inc
Original Assignee
Zoox Inc
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
Priority claimed from US17/535,396 external-priority patent/US12080044B2/en
Priority claimed from US17/535,382 external-priority patent/US12157465B2/en
Priority claimed from US17/535,418 external-priority patent/US12084087B2/en
Priority claimed from US17/535,357 external-priority patent/US12065171B2/en
Application filed by Zoox Inc filed Critical Zoox Inc
Publication of EP4436854A1 publication Critical patent/EP4436854A1/en
Publication of EP4436854A4 publication Critical patent/EP4436854A4/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • B60W60/0027—Planning or execution of driving tasks using trajectory prediction for other traffic participants
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/53—Road markings, e.g. lane marker or crosswalk
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/402—Type
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/404—Characteristics
    • B60W2554/4041—Position
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2554/00—Input parameters relating to objects
    • B60W2554/40—Dynamic objects, e.g. animals, windblown objects
    • B60W2554/404—Characteristics
    • B60W2554/4042—Longitudinal speed
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Transportation (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Human Computer Interaction (AREA)
  • Evolutionary Computation (AREA)
  • Mechanical Engineering (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Automation & Control Theory (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
  • Image Analysis (AREA)
EP22899261.6A 2021-11-24 2022-10-21 Coding of relative object information into node boundary functions Pending EP4436854A4 (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US17/535,396 US12080044B2 (en) 2021-11-24 2021-11-24 Prediction sampling techniques
US17/535,382 US12157465B2 (en) 2021-11-24 2021-11-24 Boundary aware top-down prediction
US17/535,418 US12084087B2 (en) 2021-11-24 2021-11-24 Focusing prediction distribution output for efficient sampling
US17/535,357 US12065171B2 (en) 2021-11-24 2021-11-24 Encoding relative object information into node edge features
PCT/US2022/047451 WO2023096716A1 (en) 2021-11-24 2022-10-21 Encoding relative object information into node edge features

Publications (2)

Publication Number Publication Date
EP4436854A1 EP4436854A1 (en) 2024-10-02
EP4436854A4 true EP4436854A4 (en) 2025-11-05

Family

ID=86540269

Family Applications (1)

Application Number Title Priority Date Filing Date
EP22899261.6A Pending EP4436854A4 (en) 2021-11-24 2022-10-21 Coding of relative object information into node boundary functions

Country Status (3)

Country Link
EP (1) EP4436854A4 (en)
JP (1) JP2024545606A (en)
WO (1) WO2023096716A1 (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10814871B2 (en) * 2018-12-26 2020-10-27 Gm Cruise Holdings Llc Computing system for assigning maneuver labels to autonomous vehicle sensor data
US11131993B2 (en) * 2019-05-29 2021-09-28 Argo AI, LLC Methods and systems for trajectory forecasting with recurrent neural networks using inertial behavioral rollout
DE102019118366A1 (en) * 2019-07-08 2021-01-14 Zf Friedrichshafen Ag Method and control device for a system for controlling a motor vehicle
US11636307B2 (en) * 2019-07-08 2023-04-25 Uatc, Llc Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same
RU2751734C2 (en) * 2019-12-30 2021-07-16 Общество с ограниченной ответственностью "Яндекс Беспилотные Технологии" Methods and processors for steering control of self-driving car

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
TIM SALZMANN ET AL: "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 13 January 2021 (2021-01-13), XP081856977 *

Also Published As

Publication number Publication date
WO2023096716A1 (en) 2023-06-01
JP2024545606A (en) 2024-12-10
EP4436854A1 (en) 2024-10-02

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