KR20210118912A - 교통 개체를 통한 신경망 기반 자율주행자동차 항법 - Google Patents

교통 개체를 통한 신경망 기반 자율주행자동차 항법 Download PDF

Info

Publication number
KR20210118912A
KR20210118912A KR1020217027230A KR20217027230A KR20210118912A KR 20210118912 A KR20210118912 A KR 20210118912A KR 1020217027230 A KR1020217027230 A KR 1020217027230A KR 20217027230 A KR20217027230 A KR 20217027230A KR 20210118912 A KR20210118912 A KR 20210118912A
Authority
KR
South Korea
Prior art keywords
autonomous vehicle
traffic
user
hidden context
vehicle
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
KR1020217027230A
Other languages
English (en)
Korean (ko)
Inventor
사무엘 잉글리쉬 앤서니
Original Assignee
퍼셉티브 오토마타, 인코퍼레이티드
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=71731228&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=KR20210118912(A) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by 퍼셉티브 오토마타, 인코퍼레이티드 filed Critical 퍼셉티브 오토마타, 인코퍼레이티드
Publication of KR20210118912A publication Critical patent/KR20210118912A/ko
Ceased legal-status Critical Current

Links

Images

Classifications

    • 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
    • B60W60/00276—Planning or execution of driving tasks using trajectory prediction for other traffic participants for two or more other traffic participants
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
    • 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
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/09—Taking automatic action to avoid collision, e.g. braking and steering
    • 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
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • 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
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095—Predicting travel path or likelihood of collision
    • B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
    • 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
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • 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
    • B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • B60W40/09—Driving style or behaviour
    • 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
    • B60W60/0015—Planning or execution of driving tasks specially adapted for safety
    • 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
    • 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
    • B60W60/00274—Planning or execution of driving tasks using trajectory prediction for other traffic participants considering possible movement changes
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N7/005—
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems
    • G08G1/166—Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
    • 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
    • B60W2300/00—Indexing codes relating to the type of vehicle
    • B60W2300/36—Cycles; Motorcycles; Scooters
    • 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
    • B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
    • B60W2420/403—Image sensing, e.g. optical camera
    • 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
    • B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
    • B60W2420/408—Radar; Laser, e.g. lidar
    • 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
    • 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
    • B60W2554/402—Type
    • B60W2554/4029—Pedestrians
    • 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
    • B60W2554/4045—Intention, e.g. lane change or imminent movement
    • 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
    • B60W2554/4047—Attentiveness, e.g. distracted by mobile phone
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60Y—INDEXING SCHEME RELATING TO ASPECTS CROSS-CUTTING VEHICLE TECHNOLOGY
    • B60Y2400/00—Special features of vehicle units
    • B60Y2400/81—Braking systems
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Medical Informatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Electromagnetism (AREA)
  • Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Algebra (AREA)
  • Probability & Statistics with Applications (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
KR1020217027230A 2019-01-30 2020-01-30 교통 개체를 통한 신경망 기반 자율주행자동차 항법 Ceased KR20210118912A (ko)

Applications Claiming Priority (7)

Application Number Priority Date Filing Date Title
US201962798978P 2019-01-30 2019-01-30
US62/798,978 2019-01-30
US201962800416P 2019-02-01 2019-02-01
US62/800,416 2019-02-01
US201962822269P 2019-03-22 2019-03-22
US62/822,269 2019-03-22
PCT/US2020/015889 WO2020160276A1 (en) 2019-01-30 2020-01-30 Neural network based navigation of autonomous vehicles through traffic entities

Publications (1)

Publication Number Publication Date
KR20210118912A true KR20210118912A (ko) 2021-10-01

Family

ID=71731228

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020217027230A Ceased KR20210118912A (ko) 2019-01-30 2020-01-30 교통 개체를 통한 신경망 기반 자율주행자동차 항법

Country Status (5)

Country Link
US (2) US11520346B2 (https=)
EP (1) EP3918590A4 (https=)
JP (1) JP2022523730A (https=)
KR (1) KR20210118912A (https=)
WO (1) WO2020160276A1 (https=)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20250196867A1 (en) * 2023-12-15 2025-06-19 Hyundai Motor Company Autonomous driving vehicle and control method thereof

Families Citing this family (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102016215587A1 (de) * 2016-08-19 2018-02-22 Audi Ag Verfahren zum Betreiben eines zumindest teilautonom betriebenen Kraftfahrzeugs und Kraftfahrzeug
US20220161818A1 (en) * 2019-04-05 2022-05-26 NEC Laboratories Europe GmbH Method and system for supporting autonomous driving of an autonomous vehicle
US11157784B2 (en) * 2019-05-08 2021-10-26 GM Global Technology Operations LLC Explainable learning system and methods for autonomous driving
US11482015B2 (en) * 2019-08-09 2022-10-25 Otobrite Electronics Inc. Method for recognizing parking space for vehicle and parking assistance system using the method
EP4017773B1 (en) * 2019-08-23 2024-05-22 Volvo Autonomous Solutions AB A method for quantifying extreme traffic behavior
US11993291B2 (en) * 2019-10-17 2024-05-28 Perceptive Automata, Inc. Neural networks for navigation of autonomous vehicles based upon predicted human intents
DE102019133223B3 (de) * 2019-12-05 2021-03-11 Bayerische Motoren Werke Aktiengesellschaft Verfahren zum Durchführen eines ferngesteuerten Parkmanövers mit einem Fahrzeug unter Verwendung eines mobilen Endgeräts sowie System
DE102019220009A1 (de) * 2019-12-18 2021-06-24 Conti Temic Microelectronic Gmbh Verfahren zur Erkennung von Verkehrsteilnehmern
SE1951488A1 (en) * 2019-12-18 2021-06-19 Forsete Group Ab Method and system for predicting movement
US20210341941A1 (en) * 2020-05-04 2021-11-04 Optimus Ride, Inc. Mapping System and Method
US11518413B2 (en) 2020-05-14 2022-12-06 Perceptive Automata, Inc. Navigation of autonomous vehicles using turn aware machine learning based models for prediction of behavior of a traffic entity
US11352023B2 (en) 2020-07-01 2022-06-07 May Mobility, Inc. Method and system for dynamically curating autonomous vehicle policies
KR20220039903A (ko) * 2020-09-21 2022-03-30 현대자동차주식회사 자율주행 제어 장치 및 방법
JP7529514B2 (ja) * 2020-09-30 2024-08-06 矢崎総業株式会社 アノテーション装置、アノテーション方法、及び、アノテーションプログラム
CN112519769A (zh) * 2020-11-20 2021-03-19 上善智城(苏州)信息科技有限公司 一种基于驾驶习惯智能学习技术的制动方法及装置
CN112649208A (zh) * 2020-11-30 2021-04-13 北京智能车联产业创新中心有限公司 测试自动驾驶车辆紧急制动功能的装置及方法
EP4264181A4 (en) 2020-12-17 2024-10-30 May Mobility, Inc. METHOD AND SYSTEM FOR DYNAMIC UPDATING AN ENVIRONMENTAL REPRESENTATION OF AN AUTONOMOUS AGENT
CN112985830B (zh) * 2021-02-05 2023-06-23 深圳大雷汽车检测股份有限公司 一种abs结果自动判定算法
CN112965081B (zh) * 2021-02-05 2023-08-01 浙江大学 基于融合行人信息的特征地图的模仿学习社交导航方法
EP4314708A4 (en) * 2021-04-02 2024-12-25 May Mobility, Inc. METHOD AND SYSTEM FOR OPERATING AN AUTONOMOUS AGENT WITH INCOMPLETE ENVIRONMENTAL INFORMATION
CA3155318A1 (en) * 2021-04-07 2022-10-07 Royal Bank Of Canada System and method for probabilistic forecasting using machine learning with a reject option
KR20220144432A (ko) * 2021-04-19 2022-10-27 현대자동차주식회사 차량의 오토홀드 자동 제어 방법
EP4109194B1 (de) * 2021-06-25 2023-10-18 Siemens Aktiengesellschaft Sensordatengenerierung zum steuern eines autonomen fahrzeugs
CN113353102B (zh) * 2021-07-08 2022-11-25 重庆大学 一种基于深度强化学习的无保护左转弯驾驶控制方法
US12084088B2 (en) 2021-07-29 2024-09-10 Waymo Llc Pedestrian intent yielding
FR3126386B1 (fr) * 2021-08-25 2023-09-29 Renault Sas Procédé de modélisation d’un environnement de navigation d’un véhicule automobile.
CN114590248B (zh) * 2022-02-23 2023-08-25 阿波罗智能技术(北京)有限公司 行驶策略的确定方法、装置、电子设备和自动驾驶车辆
US12097878B2 (en) 2022-04-26 2024-09-24 Perceptive Automata, Inc. Generating training data for machine learning based models for autonomous vehicles
EP4361997A1 (en) * 2022-10-28 2024-05-01 Volvo Car Corporation Method for controlling a vehicle, data processing apparatus, vehicle, computer program, and computer-readable storage medium
CN116069034A (zh) * 2023-01-17 2023-05-05 星河智联汽车科技有限公司 一种自动驾驶车辆的控制方法和装置
DE102023131285A1 (de) * 2023-01-19 2024-07-25 Toyota Jidosha Kabushiki Kaisha Risikoabschätzungssystem und Fahrzeugsteuersystem
CN116305545A (zh) * 2023-02-27 2023-06-23 重庆长安汽车股份有限公司 一种自动紧急制动功能开发方法、装置、系统及存储介质
US12546623B2 (en) 2023-06-27 2026-02-10 Torc Robotics, Inc. World model generation and correction for autonomous vehicles
US12498252B2 (en) * 2023-06-27 2025-12-16 Torc Robotics, Inc. World model generation and correction for autonomous vehicles
CN117612071B (zh) * 2024-01-23 2024-04-19 中国科学技术大学 一种基于迁移学习的视频动作识别方法
DE102024129586A1 (de) 2024-10-14 2026-04-16 Dr. Ing. H.C. F. Porsche Aktiengesellschaft System und Verfahren zur Reduzierung der Falsch-Positiv-Rate einer automatisierten Notbremsfunktion (AEB) eines Fahrerassistenzsystems

Family Cites Families (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1397144A4 (en) 2001-05-15 2005-02-16 Psychogenics Inc SYSTEMS AND METHODS FOR MONITORING BEHAVIOR INFORMATION
US8175333B2 (en) 2007-09-27 2012-05-08 Behavioral Recognition Systems, Inc. Estimator identifier component for behavioral recognition system
DE102008049824B4 (de) 2008-10-01 2014-09-04 Universität Kassel Verfahren zur Kollisionsvermeidung
US20130197736A1 (en) * 2012-01-30 2013-08-01 Google Inc. Vehicle control based on perception uncertainty
CN110920609B (zh) * 2013-12-04 2023-08-22 移动眼视力科技有限公司 用于模仿前车的系统和方法
US9656667B2 (en) * 2014-01-29 2017-05-23 Continental Automotive Systems, Inc. Method for minimizing automatic braking intrusion based on collision confidence
JP6184923B2 (ja) * 2014-09-11 2017-08-23 日立オートモティブシステムズ株式会社 車両の移動体衝突回避装置
US9766336B2 (en) * 2015-03-16 2017-09-19 Here Global B.V. Vehicle obstruction detection
JP6481520B2 (ja) * 2015-06-05 2019-03-13 トヨタ自動車株式会社 車両の衝突回避支援装置
KR20160144214A (ko) * 2015-06-08 2016-12-16 엘지전자 주식회사 교통 사고 정보 공유 방법 및 이를 이용한 이동 단말기
US9983591B2 (en) 2015-11-05 2018-05-29 Ford Global Technologies, Llc Autonomous driving at intersections based on perception data
CN117400938A (zh) * 2015-11-26 2024-01-16 御眼视觉技术有限公司 主车辆的车辆导航系统、主车辆和非暂时性机器可读介质
WO2017110002A1 (ja) * 2015-12-25 2017-06-29 パイオニア株式会社 予測装置、予測システム、予測方法および予測プログラム
US10034066B2 (en) * 2016-05-02 2018-07-24 Bao Tran Smart device
US20170329332A1 (en) 2016-05-10 2017-11-16 Uber Technologies, Inc. Control system to adjust operation of an autonomous vehicle based on a probability of interference by a dynamic object
JP6805965B2 (ja) * 2017-05-23 2020-12-23 トヨタ自動車株式会社 衝突回避制御装置
CN109937343B (zh) 2017-06-22 2023-06-13 百度时代网络技术（北京）有限公司 用于自动驾驶车辆交通预测中的预测轨迹的评估框架
US20180373980A1 (en) * 2017-06-27 2018-12-27 drive.ai Inc. Method for training and refining an artificial intelligence
US10402687B2 (en) * 2017-07-05 2019-09-03 Perceptive Automata, Inc. System and method of predicting human interaction with vehicles
US20190102674A1 (en) * 2017-09-29 2019-04-04 Here Global B.V. Method, apparatus, and system for selecting training observations for machine learning models
US10019011B1 (en) * 2017-10-09 2018-07-10 Uber Technologies, Inc. Autonomous vehicles featuring machine-learned yield model
US11048927B2 (en) * 2017-10-24 2021-06-29 Waymo Llc Pedestrian behavior predictions for autonomous vehicles
US10908614B2 (en) 2017-12-19 2021-02-02 Here Global B.V. Method and apparatus for providing unknown moving object detection
US11042156B2 (en) * 2018-05-14 2021-06-22 Honda Motor Co., Ltd. System and method for learning and executing naturalistic driving behavior
US10800408B2 (en) * 2018-05-24 2020-10-13 Baidu Usa Llc Determining driving paths for autonomous driving that avoid moving obstacles
US20180348771A1 (en) * 2018-07-26 2018-12-06 GM Global Technology Operations LLC Stop contingency planning during autonomous vehicle operation
US10845815B2 (en) * 2018-07-27 2020-11-24 GM Global Technology Operations LLC Systems, methods and controllers for an autonomous vehicle that implement autonomous driver agents and driving policy learners for generating and improving policies based on collective driving experiences of the autonomous driver agents
WO2020107020A1 (en) * 2018-11-23 2020-05-28 Volvo Car Corporation Lidar-based multi-person pose estimation
US10878698B2 (en) * 2018-12-13 2020-12-29 Qualcomm Incorporated Interactive vehicular communication
US11100793B2 (en) * 2019-01-15 2021-08-24 Waycare Technologies Ltd. System and method for detection and quantification of irregular traffic congestion
US10936903B2 (en) * 2019-03-30 2021-03-02 Intel Corporation Technologies for labeling and validating human-machine interface high definition-map data

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20250196867A1 (en) * 2023-12-15 2025-06-19 Hyundai Motor Company Autonomous driving vehicle and control method thereof

Also Published As

Publication number Publication date
US11733703B2 (en) 2023-08-22
US20200241545A1 (en) 2020-07-30
EP3918590A1 (en) 2021-12-08
US20200239026A1 (en) 2020-07-30
JP2022523730A (ja) 2022-04-26
WO2020160276A1 (en) 2020-08-06
EP3918590A4 (en) 2023-02-08
US11520346B2 (en) 2022-12-06

Similar Documents

Publication Publication Date Title
US11733703B2 (en) Automatic braking of autonomous vehicles using machine learning based prediction of behavior of a traffic entity
US11840261B2 (en) Ground truth based metrics for evaluation of machine learning based models for predicting attributes of traffic entities for navigating autonomous vehicles
US11467579B2 (en) Probabilistic neural network for predicting hidden context of traffic entities for autonomous vehicles
US11667301B2 (en) Symbolic modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems
US11518413B2 (en) Navigation of autonomous vehicles using turn aware machine learning based models for prediction of behavior of a traffic entity
US11572083B2 (en) Neural network based prediction of hidden context of traffic entities for autonomous vehicles
CN111542831B (zh) 预测人类与车辆交互的系统和方法
US11993291B2 (en) Neural networks for navigation of autonomous vehicles based upon predicted human intents
Roth et al. Driver and pedestrian mutual awareness for path prediction and collision risk estimation
US20230351772A1 (en) Framework for evaluation of machine learning based model used for autonomous vehicle
US12340594B2 (en) Systems and methods for determining road object importance based on forward facing and driver facing video data
CN118155186A (zh) 行人横穿意图预测方法、装置、系统及存储介质
US20230339504A1 (en) Generating training data for machine learning based models for autonomous vehicles
JP2024013226A (ja) 運転関連の向上した仮想フィールド
CN117416364A (zh) 驾驶相关的增强虚拟场
US20230356747A1 (en) Driving related augmented virtual fields
US20230365157A1 (en) Driving related augmented virtual fields
Hina et al. Machine Learning-Assisted Cognition of Driving Context and Avoidance of Road Obstacles
CN121316863A (zh) 基于异常驾驶行为的车辆驾驶权转移方法和电子设备

Legal Events

Date Code Title Description
PA0105 International application

Patent event date: 20210826

Patent event code: PA01051R01D

Comment text: International Patent Application

PG1501 Laying open of application
E902 Notification of reason for refusal
PE0902 Notice of grounds for rejection

Comment text: Notification of reason for refusal

Patent event date: 20241130

Patent event code: PE09021S01D

E601 Decision to refuse application
PE0601 Decision on rejection of patent

Patent event date: 20250624

Comment text: Decision to Refuse Application

Patent event code: PE06012S01D