CN114555447A - 碰撞避免感知系统 - Google Patents
碰撞避免感知系统 Download PDFInfo
- Publication number
- CN114555447A CN114555447A CN202080069626.1A CN202080069626A CN114555447A CN 114555447 A CN114555447 A CN 114555447A CN 202080069626 A CN202080069626 A CN 202080069626A CN 114555447 A CN114555447 A CN 114555447A
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- 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
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/0274—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
-
- 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
- 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
- B60W60/0016—Planning or execution of driving tasks specially adapted for safety of the vehicle or its occupants
-
- 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
- B60W60/00272—Planning or execution of driving tasks using trajectory prediction for other traffic participants relying on extrapolation of current 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
- 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
-
- 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
- B60W60/005—Handover processes
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
- G06F18/251—Fusion techniques of input or preprocessed data
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Human Computer Interaction (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Remote Sensing (AREA)
- Aviation & Aerospace Engineering (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Networks & Wireless Communication (AREA)
- Electromagnetism (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/591,518 US11994866B2 (en) | 2019-10-02 | 2019-10-02 | Collision avoidance perception system |
| US16/591,518 | 2019-10-02 | ||
| US16/848,834 | 2020-04-14 | ||
| US16/848,834 US11726492B2 (en) | 2019-10-02 | 2020-04-14 | Collision avoidance perception system |
| PCT/US2020/053558 WO2021067445A1 (en) | 2019-10-02 | 2020-09-30 | Collision avoidance perception system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114555447A true CN114555447A (zh) | 2022-05-27 |
Family
ID=72964802
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202080069626.1A Pending CN114555447A (zh) | 2019-10-02 | 2020-09-30 | 碰撞避免感知系统 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11726492B2 (https=) |
| EP (1) | EP4038465B1 (https=) |
| JP (1) | JP7763165B2 (https=) |
| CN (1) | CN114555447A (https=) |
| WO (1) | WO2021067445A1 (https=) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116156545A (zh) * | 2023-01-03 | 2023-05-23 | 招商局检测车辆技术研究院有限公司 | 智能网联融合感知系统评测方法、装置、设备及存储介质 |
| US20240105059A1 (en) * | 2022-09-28 | 2024-03-28 | Qualcomm Technologies, Inc. | Delimiter-based occupancy mapping |
| CN118839317A (zh) * | 2024-09-20 | 2024-10-25 | 江苏可天士智能科技有限公司 | 基于场景的智能头盔模块感知切换方法及系统 |
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| US10007269B1 (en) * | 2017-06-23 | 2018-06-26 | Uber Technologies, Inc. | Collision-avoidance system for autonomous-capable vehicle |
| IL270540A (en) * | 2018-12-26 | 2020-06-30 | Yandex Taxi Llc | Method and system for training a machine learning algorithm to recognize objects from a distance |
| US11507084B2 (en) * | 2019-03-27 | 2022-11-22 | Intel Corporation | Collaborative 3-D environment map for computer-assisted or autonomous driving vehicles |
| EP3739361B1 (en) * | 2019-05-13 | 2026-03-11 | Aptiv Technologies AG | Method and system for fusing occupancy maps |
| US11994866B2 (en) | 2019-10-02 | 2024-05-28 | Zoox, Inc. | Collision avoidance perception system |
| US12012127B2 (en) * | 2019-10-26 | 2024-06-18 | Zoox, Inc. | Top-down view object detection and tracking |
| CN110998663B (zh) * | 2019-11-22 | 2023-12-01 | 驭势(上海)汽车科技有限公司 | 一种仿真场景的图像生成方法、电子设备和存储介质 |
| US11663726B2 (en) * | 2020-01-31 | 2023-05-30 | Zoox, Inc. | Object velocity and/or yaw rate detection and tracking |
| US11834069B2 (en) * | 2020-03-05 | 2023-12-05 | Uatc, Lcc | Systems and methods for selecting trajectories based on interpretable semantic representations |
| EP3882813B1 (en) | 2020-03-20 | 2025-05-07 | Aptiv Technologies AG | Method for generating a dynamic occupancy grid |
| EP3888988B1 (en) | 2020-03-30 | 2024-09-04 | Aptiv Technologies AG | Method and system for determining a usable distance in front of a vehicle |
| EP3905105A1 (en) * | 2020-04-27 | 2021-11-03 | Aptiv Technologies Limited | Method for determining a collision free space |
| EP3905106A1 (en) | 2020-04-27 | 2021-11-03 | Aptiv Technologies Limited | Method for determining a drivable area |
| US12228939B2 (en) * | 2020-06-26 | 2025-02-18 | Intel Corporation | Occupancy verification device and method |
| EP4012347B1 (en) * | 2020-12-14 | 2025-01-29 | Aptiv Technologies AG | System and method for mapping a vehicle environment |
| US12189398B2 (en) * | 2021-02-16 | 2025-01-07 | Sony Group Corporation | Circuitry and method |
| CN113111950B (zh) * | 2021-04-19 | 2022-05-31 | 中国农业科学院农业资源与农业区划研究所 | 一种基于集成学习的小麦锈病分类方法 |
| US20220374683A1 (en) * | 2021-05-12 | 2022-11-24 | Deepmind Technologies Limited | Selecting points in continuous spaces using neural networks |
| DE102021002910B3 (de) * | 2021-06-07 | 2022-04-21 | Daimler Ag | Verfahren und Vorrichtung zur Bewertung einer Leistungsfähigkeit mindestens eines Umgebungssensors eines Fahrzeugs sowie Fahrzeug mit einer solchen Vorrichtung |
| US12103540B2 (en) * | 2021-07-29 | 2024-10-01 | Qualcomm Incorporated | Occupancy mapping for autonomous control of a vehicle |
| WO2023017439A1 (en) * | 2021-08-11 | 2023-02-16 | Atai Labs Private Limited | "automated system and method for detecting real-time space occupancy of inventory within a warehouse |
| EP4137845B1 (en) | 2021-08-16 | 2026-04-01 | Aptiv Technologies AG | Methods and systems for predicting properties of a plurality of objects in a vicinity of a vehicle |
| US12210595B2 (en) | 2021-09-03 | 2025-01-28 | Ford Global Technologies, Llc | Systems and methods for providing and using confidence estimations for semantic labeling |
| EP4174799B1 (en) * | 2021-10-26 | 2026-04-01 | Zenseact AB | Ads perception system perceived free-space verification |
| US11488377B1 (en) * | 2022-03-23 | 2022-11-01 | Motional Ad Llc | Adding tags to sensor data via a plurality of models and querying the sensor data |
| US12148223B2 (en) | 2022-04-28 | 2024-11-19 | Toyota Research Institute, Inc. | Shared vision system backbone |
| CN119301657B (zh) * | 2022-06-09 | 2025-12-23 | 日产自动车株式会社 | 驻车辅助方法以及驻车辅助装置 |
| US12128892B2 (en) * | 2022-06-10 | 2024-10-29 | GM Global Technology Operations LLC | Optimal pull over planning upon emergency vehicle siren detection |
| US12227208B2 (en) | 2022-06-15 | 2025-02-18 | Gm Cruise Holdings Llc | Collision imminent detection |
| EP4325317B1 (en) * | 2022-08-16 | 2024-09-11 | Volvo Autonomous Solutions AB | Autonomous vehicle control guided by occupancy scores |
| US20240144416A1 (en) * | 2022-10-26 | 2024-05-02 | Qualcomm Incorporated | Occupancy grid determination |
| EP4372715A1 (en) * | 2022-11-17 | 2024-05-22 | Aptiv Technologies Limited | Vehicle collision threat assessment |
| US12409851B2 (en) * | 2022-12-09 | 2025-09-09 | Robert Bosch Gmbh | Sensor plugin architecture for grid map |
| US12371053B2 (en) | 2022-12-09 | 2025-07-29 | Robert Bosch Gmbh | Using static grid map to cross-check dynamic objects |
| US12157494B2 (en) | 2022-12-09 | 2024-12-03 | Robert Bosch Gmbh | Use of high density map in occupancy grid |
| WO2024137170A1 (en) * | 2022-12-22 | 2024-06-27 | Qualcomm Incorporated | Over-the-air occupancy grid aggregation with indication of occupied and free cells |
| US20240248212A1 (en) * | 2023-01-24 | 2024-07-25 | Gm Cruise Holdings Llc | Object tracking based on unused sensor data |
| KR20250062481A (ko) * | 2023-10-31 | 2025-05-08 | 현대모비스 주식회사 | ADS(Automated Driving System)의 차량의 갓길 정차를 위한 자율주행 최소 위험 기동을 수행하는 방법 및 장치 |
| US20250284298A1 (en) * | 2024-03-11 | 2025-09-11 | Mobileye Vision Technologies Ltd. | Redundant vehicle trajectory validation |
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| US9014848B2 (en) | 2010-05-20 | 2015-04-21 | Irobot Corporation | Mobile robot system |
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| DE112019000065B4 (de) * | 2018-02-02 | 2025-01-09 | Nvidia Corporation | Sicherheitsprozeduranalyse zur hindernisvermeidung in einem autonomen fahrzeug |
| IT201800006594A1 (it) * | 2018-06-22 | 2019-12-22 | "Procedimento per la mappatura dell’ambiente di un veicolo, corrispondenti sistema, veicolo e prodotto informatico" | |
| US10678246B1 (en) * | 2018-07-30 | 2020-06-09 | GM Global Technology Operations LLC | Occupancy grid movie system |
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| US11494937B2 (en) | 2018-11-16 | 2022-11-08 | Uatc, Llc | Multi-task multi-sensor fusion for three-dimensional object detection |
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| EP3745299B1 (en) | 2019-05-31 | 2026-02-25 | Infineon Technologies AG | Neural network device and method using a neural network for sensor fusion |
| US11531346B2 (en) | 2019-07-05 | 2022-12-20 | Uatc, Llc | Goal-directed occupancy prediction for autonomous driving |
| WO2021016596A1 (en) * | 2019-07-25 | 2021-01-28 | Nvidia Corporation | Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications |
| US11634162B2 (en) | 2019-08-16 | 2023-04-25 | Uatc, Llc. | Full uncertainty for motion planning in autonomous vehicles |
| US11250576B2 (en) * | 2019-08-19 | 2022-02-15 | Toyota Research Institute, Inc. | Systems and methods for estimating dynamics of objects using temporal changes encoded in a difference map |
| US11300959B2 (en) * | 2019-08-30 | 2022-04-12 | Huawei Technologies Co., Ltd. | System and method for predictive path planning in autonomous vehicles |
| US11403853B2 (en) * | 2019-08-30 | 2022-08-02 | Waymo Llc | Occupancy prediction neural networks |
| US11620808B2 (en) | 2019-09-25 | 2023-04-04 | VergeSense, Inc. | Method for detecting human occupancy and activity in a work area |
| US11994866B2 (en) | 2019-10-02 | 2024-05-28 | Zoox, Inc. | Collision avoidance perception system |
-
2020
- 2020-04-14 US US16/848,834 patent/US11726492B2/en active Active
- 2020-09-30 JP JP2022520288A patent/JP7763165B2/ja active Active
- 2020-09-30 CN CN202080069626.1A patent/CN114555447A/zh active Pending
- 2020-09-30 WO PCT/US2020/053558 patent/WO2021067445A1/en not_active Ceased
- 2020-09-30 EP EP20793865.5A patent/EP4038465B1/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20240105059A1 (en) * | 2022-09-28 | 2024-03-28 | Qualcomm Technologies, Inc. | Delimiter-based occupancy mapping |
| CN116156545A (zh) * | 2023-01-03 | 2023-05-23 | 招商局检测车辆技术研究院有限公司 | 智能网联融合感知系统评测方法、装置、设备及存储介质 |
| CN118839317A (zh) * | 2024-09-20 | 2024-10-25 | 江苏可天士智能科技有限公司 | 基于场景的智能头盔模块感知切换方法及系统 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20210101624A1 (en) | 2021-04-08 |
| WO2021067445A1 (en) | 2021-04-08 |
| EP4038465A1 (en) | 2022-08-10 |
| US11726492B2 (en) | 2023-08-15 |
| EP4038465B1 (en) | 2026-02-18 |
| JP2022552138A (ja) | 2022-12-15 |
| JP7763165B2 (ja) | 2025-10-31 |
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