CN114555447A - 碰撞避免感知系统 - Google Patents

碰撞避免感知系统 Download PDF

Info

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
Authority
CN
China
Prior art keywords
occupancy map
occupied
current
data
sensor data
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
CN202080069626.1A
Other languages
English (en)
Chinese (zh)
Inventor
J·W·V·菲尔宾
C·S·斯隆
N·E·亨迪
N·G·查楚特
王闯
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 US16/591,518 external-priority patent/US11994866B2/en
Application filed by Zoox Inc filed Critical Zoox Inc
Publication of CN114555447A publication Critical patent/CN114555447A/zh
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0268Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
    • G05D1/0274Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W30/00Purposes 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
    • B60W30/08Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
    • B60W30/095Predicting travel path or likelihood of collision
    • B60W30/0956Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001Planning or execution of driving tasks
    • B60W60/0015Planning or execution of driving tasks specially adapted for safety
    • B60W60/0016Planning or execution of driving tasks specially adapted for safety of the vehicle or its occupants
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001Planning or execution of driving tasks
    • B60W60/0027Planning or execution of driving tasks using trajectory prediction for other traffic participants
    • B60W60/00272Planning or execution of driving tasks using trajectory prediction for other traffic participants relying on extrapolation of current movement
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001Planning or execution of driving tasks
    • B60W60/0027Planning or execution of driving tasks using trajectory prediction for other traffic participants
    • B60W60/00276Planning or execution of driving tasks using trajectory prediction for other traffic participants for two or more other traffic participants
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT 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
    • B60W60/00Drive control systems specially adapted for autonomous road vehicles
    • B60W60/005Handover processes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/93Lidar systems specially adapted for specific applications for anti-collision purposes
    • G01S17/931Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133Distances to prototypes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/251Fusion techniques of input or preprocessed data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77Processing 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
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/803Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/166Anti-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)
CN202080069626.1A 2019-10-02 2020-09-30 碰撞避免感知系统 Pending CN114555447A (zh)

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)

* Cited by examiner, † Cited by third party
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

Families Citing this family (39)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9014848B2 (en) 2010-05-20 2015-04-21 Irobot Corporation Mobile robot system
DK2952993T3 (en) 2014-06-05 2018-07-30 Softbank Robotics Europe PROCEDURE FOR MAKING A CARD OF LIKELIHOOD FOR ONE OF THE ABSENCE OR EXISTENCE OF BARRIERS FOR AN AUTONOMOUS ROBOT
US9910441B2 (en) * 2015-11-04 2018-03-06 Zoox, Inc. Adaptive autonomous vehicle planner logic
US9734455B2 (en) * 2015-11-04 2017-08-15 Zoox, Inc. Automated extraction of semantic information to enhance incremental mapping modifications for robotic vehicles
US10710579B2 (en) 2017-06-01 2020-07-14 Waymo Llc Collision prediction system
US10503172B2 (en) * 2017-10-18 2019-12-10 Luminar Technologies, Inc. Controlling an autonomous vehicle based on independent driving decisions
US10345822B1 (en) * 2018-01-26 2019-07-09 Ford Global Technologies, Llc Cognitive mapping for vehicles
US11016491B1 (en) * 2018-01-26 2021-05-25 X Development Llc Trajectory planning for mobile robots
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
US10553117B1 (en) 2018-11-06 2020-02-04 Toyota Motor Engineering & Manufacturing North America, Inc. System and method for determining lane occupancy of surrounding vehicles
US11465633B2 (en) * 2018-11-14 2022-10-11 Huawei Technologies Co., Ltd. Method and system for generating predicted occupancy grid maps
US11494937B2 (en) 2018-11-16 2022-11-08 Uatc, Llc Multi-task multi-sensor fusion for three-dimensional object detection
US11449705B2 (en) * 2019-01-08 2022-09-20 Motional Ad Llc Field theory based perception for autonomous vehicles
EP3690753A1 (en) * 2019-02-04 2020-08-05 Elektrobit Automotive GmbH Determination of the driving context of a vehicle
US20200365029A1 (en) * 2019-05-17 2020-11-19 Ford Global Technologies, Llc Confidence map building using shared data
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

Cited By (3)

* Cited by examiner, † Cited by third party
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

Similar Documents

Publication Publication Date Title
JP7763165B2 (ja) 衝突回避知覚システム
US20240310852A1 (en) Collision avoidance perception system
EP4107042B1 (en) Combined track confidence and classification model
JP7662628B2 (ja) オブジェクトの検出及び追跡
JP7682190B2 (ja) オブジェクト速度および/またはヨーレート検出およびトラッキング
CN112789481B (zh) 对自上而下场景的轨迹预测
JP7350013B2 (ja) マスクを使用したデータセグメンテーション
US11353577B2 (en) Radar spatial estimation
US11702106B1 (en) Tuning a safety system based on near-miss events
US12189718B1 (en) Learned state covariances
EP4037946B1 (en) Complex ground profile estimation
US11500385B2 (en) Collision avoidance perception system
US11648962B1 (en) Safety metric prediction
CN118215613A (zh) 用于高效的对象属性和/或意图分类的机器学习架构
US20220207308A1 (en) Intermediate input for machine learned model
US12080074B2 (en) Center-based detection and tracking
US12482269B2 (en) Multi-resolution top-down segmentation
CN119384376A (zh) 车辆安全系统
US11270437B1 (en) Top-down segmentation pixel orientation and distance
US12415549B1 (en) Machine-learned model for detecting object relevance to vehicle operation planning
EP4272186B1 (en) Intermediate input for machine learned model

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination