JP2022523730A - 交通エンティティの間を縫っての自律車両のニューラルネットワークベースのナビゲーション - Google Patents
交通エンティティの間を縫っての自律車両のニューラルネットワークベースのナビゲーション Download PDFInfo
- Publication number
- JP2022523730A JP2022523730A JP2021544563A JP2021544563A JP2022523730A JP 2022523730 A JP2022523730 A JP 2022523730A JP 2021544563 A JP2021544563 A JP 2021544563A JP 2021544563 A JP2021544563 A JP 2021544563A JP 2022523730 A JP2022523730 A JP 2022523730A
- Authority
- JP
- Japan
- 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.)
- Pending
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
-
- 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)
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 (3)
| Publication Number | Publication Date |
|---|---|
| JP2022523730A true JP2022523730A (ja) | 2022-04-26 |
| JP2022523730A5 JP2022523730A5 (https=) | 2023-05-10 |
| JPWO2020160276A5 JPWO2020160276A5 (https=) | 2023-05-10 |
Family
ID=71731228
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021544563A Pending JP2022523730A (ja) | 2019-01-30 | 2020-01-30 | 交通エンティティの間を縫っての自律車両のニューラルネットワークベースのナビゲーション |
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=) |
Families Citing this family (37)
| 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 |
| KR20250093704A (ko) * | 2023-12-15 | 2025-06-25 | 현대자동차주식회사 | 자율 주행 차량 및 그의 제어 방법 |
| 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 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016057959A (ja) * | 2014-09-11 | 2016-04-21 | 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 |
| JP2017004106A (ja) * | 2015-06-05 | 2017-01-05 | トヨタ自動車株式会社 | 車両の衝突回避支援装置 |
| JP2018197048A (ja) * | 2017-05-23 | 2018-12-13 | トヨタ自動車株式会社 | 衝突回避制御装置 |
| US20190012574A1 (en) * | 2017-07-05 | 2019-01-10 | Perceptive Automata | System and method of predicting human interaction with vehicles |
Family Cites Families (27)
| 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 |
| US9766336B2 (en) * | 2015-03-16 | 2017-09-19 | Here Global B.V. | Vehicle obstruction detection |
| 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 |
| 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 |
| 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 |
-
2020
- 2020-01-30 KR KR1020217027230A patent/KR20210118912A/ko not_active Ceased
- 2020-01-30 JP JP2021544563A patent/JP2022523730A/ja active Pending
- 2020-01-30 US US16/777,673 patent/US11520346B2/en active Active
- 2020-01-30 US US16/777,386 patent/US11733703B2/en active Active
- 2020-01-30 WO PCT/US2020/015889 patent/WO2020160276A1/en not_active Ceased
- 2020-01-30 EP EP20749742.1A patent/EP3918590A4/en not_active Withdrawn
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016057959A (ja) * | 2014-09-11 | 2016-04-21 | 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 |
| JP2017004106A (ja) * | 2015-06-05 | 2017-01-05 | トヨタ自動車株式会社 | 車両の衝突回避支援装置 |
| JP2018197048A (ja) * | 2017-05-23 | 2018-12-13 | トヨタ自動車株式会社 | 衝突回避制御装置 |
| US20190012574A1 (en) * | 2017-07-05 | 2019-01-10 | Perceptive Automata | System and method of predicting human interaction with vehicles |
Non-Patent Citations (1)
| Title |
|---|
| BRAEUCHLE, CHRISTIAN ET AL: "Maneuver decision for active pedestrian protection under uncertainty", PROCEEDINGS OF THE 16TH INTERNATIONAL IEEE ANNUAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (, JPN6024012472, 9 October 2013 (2013-10-09), pages 646 - 651, ISSN: 0005295622 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US11733703B2 (en) | 2023-08-22 |
| US20200241545A1 (en) | 2020-07-30 |
| EP3918590A1 (en) | 2021-12-08 |
| KR20210118912A (ko) | 2021-10-01 |
| US20200239026A1 (en) | 2020-07-30 |
| WO2020160276A1 (en) | 2020-08-06 |
| EP3918590A4 (en) | 2023-02-08 |
| US11520346B2 (en) | 2022-12-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2022523730A (ja) | 交通エンティティの間を縫っての自律車両のニューラルネットワークベースのナビゲーション | |
| US11840261B2 (en) | Ground truth based metrics for evaluation of machine learning based models for predicting attributes of traffic entities for navigating autonomous vehicles | |
| US11518413B2 (en) | Navigation of autonomous vehicles using turn aware machine learning based models for prediction of behavior of a traffic entity | |
| US11667301B2 (en) | Symbolic modeling and simulation of non-stationary traffic objects for testing and development of autonomous vehicle systems | |
| US11467579B2 (en) | Probabilistic neural network for predicting hidden context of traffic entities for autonomous vehicles | |
| US11126889B2 (en) | Machine learning based prediction of human interactions with autonomous vehicles | |
| US11572083B2 (en) | Neural network based prediction of hidden context of traffic entities for autonomous vehicles | |
| 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 | |
| US20210110203A1 (en) | Visualizing machine learning predictions of human interaction with vehicles | |
| US20230347932A1 (en) | Evaluation of components of autonomous vehicles based on driving recommendations | |
| US12097878B2 (en) | Generating training data for machine learning based models for autonomous vehicles |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20230130 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20230427 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20240402 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240702 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20241015 |
|
| A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20250114 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20250317 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20250401 |
|
| A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20250701 |
|
| A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20250901 |
|
| A02 | Decision of refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A02 Effective date: 20251028 |