JP7637674B2 - 知覚システム - Google Patents

知覚システム Download PDF

Info

Publication number
JP7637674B2
JP7637674B2 JP2022519454A JP2022519454A JP7637674B2 JP 7637674 B2 JP7637674 B2 JP 7637674B2 JP 2022519454 A JP2022519454 A JP 2022519454A JP 2022519454 A JP2022519454 A JP 2022519454A JP 7637674 B2 JP7637674 B2 JP 7637674B2
Authority
JP
Japan
Prior art keywords
data
representation
region
radar
dimensional
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.)
Active
Application number
JP2022519454A
Other languages
English (en)
Japanese (ja)
Other versions
JP2022549913A5 (https=
JP2022549913A (ja
Inventor
マリオ ボンジオ カールマン アントン
ストークス スローン クーパー
ワン チャン
クリサー コーヘン ジョシュア
イヴァンチェフ ドブレフ ヤッセン
キアン ジーフェイ
Original Assignee
ズークス インコーポレイテッド
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
Application filed by ズークス インコーポレイテッド filed Critical ズークス インコーポレイテッド
Publication of JP2022549913A publication Critical patent/JP2022549913A/ja
Publication of JP2022549913A5 publication Critical patent/JP2022549913A5/ja
Application granted granted Critical
Publication of JP7637674B2 publication Critical patent/JP7637674B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06Systems determining position data of a target
    • G01S13/42Simultaneous measurement of distance and other co-ordinates
    • 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
    • G01S13/00Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88Radar or analogous systems specially adapted for specific applications
    • G01S13/93Radar or analogous systems specially adapted for specific applications for anti-collision purposes
    • G01S13/931Radar or analogous systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • 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
    • G01S7/00Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G01S7/417Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section involving the use of neural networks
    • 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
    • G05D1/0088Control 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
    • 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
    • G05D1/0257Control of position or course in two dimensions specially adapted to land vehicles using a radar
    • 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
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/0895Weakly supervised learning, e.g. semi-supervised or self-supervised learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/09Supervised learning
    • 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
    • G06V10/82Arrangements 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
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/70Labelling scene content, e.g. deriving syntactic or semantic representations
    • 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
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88Sonar systems specially adapted for specific applications
    • G01S15/93Sonar systems specially adapted for specific applications for anti-collision purposes
    • G01S15/931Sonar systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Mathematical Physics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Electromagnetism (AREA)
  • Databases & Information Systems (AREA)
  • Business, Economics & Management (AREA)
  • Game Theory and Decision Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Acoustics & Sound (AREA)
  • Traffic Control Systems (AREA)
  • Radar Systems Or Details Thereof (AREA)
  • Image Analysis (AREA)
JP2022519454A 2019-09-30 2020-09-21 知覚システム Active JP7637674B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/587,605 US11520037B2 (en) 2019-09-30 2019-09-30 Perception system
US16/587,605 2019-09-30
PCT/US2020/051777 WO2021067056A1 (en) 2019-09-30 2020-09-21 Perception system

Publications (3)

Publication Number Publication Date
JP2022549913A JP2022549913A (ja) 2022-11-29
JP2022549913A5 JP2022549913A5 (https=) 2023-09-28
JP7637674B2 true JP7637674B2 (ja) 2025-02-28

Family

ID=72811935

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022519454A Active JP7637674B2 (ja) 2019-09-30 2020-09-21 知覚システム

Country Status (5)

Country Link
US (1) US11520037B2 (https=)
EP (1) EP4038408B1 (https=)
JP (1) JP7637674B2 (https=)
CN (1) CN114502979A (https=)
WO (1) WO2021067056A1 (https=)

Families Citing this family (28)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DK201970115A1 (en) 2018-11-08 2020-06-09 Aptiv Technologies Limited Deep learning for object detection using pillars
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
GB2591171B (en) * 2019-11-14 2023-09-13 Motional Ad Llc Sequential fusion for 3D object detection
US11532168B2 (en) 2019-11-15 2022-12-20 Nvidia Corporation Multi-view deep neural network for LiDAR perception
US12080078B2 (en) 2019-11-15 2024-09-03 Nvidia Corporation Multi-view deep neural network for LiDAR perception
US11885907B2 (en) 2019-11-21 2024-01-30 Nvidia Corporation Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
US12050285B2 (en) 2019-11-21 2024-07-30 Nvidia Corporation Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications
US11860634B2 (en) * 2019-12-12 2024-01-02 Baidu Usa Llc Lane-attention: predicting vehicles' moving trajectories by learning their attention over lanes
RU2744012C1 (ru) * 2019-12-24 2021-03-02 Общество с ограниченной ответственностью "Яндекс Беспилотные Технологии" Способы и системы для автоматизированного определения присутствия объектов
EP3943968A1 (en) * 2020-07-24 2022-01-26 Aptiv Technologies Limited Methods and system for detection of objects in a vicinity of a vehicle
US12299542B2 (en) * 2020-07-24 2025-05-13 Actimize Ltd. Systems and methods for unsupervised feature selection for online machine learning
US11835958B2 (en) * 2020-07-28 2023-12-05 Huawei Technologies Co., Ltd. Predictive motion planning system and method
CA3126250A1 (en) * 2020-07-29 2022-01-29 Uatc, Llc Recovering and simulating pedestrians in the wild
CN113095205B (zh) * 2021-04-07 2022-07-12 北京航空航天大学 一种基于改进霍夫投票的点云目标检测方法
DE102021203492B3 (de) * 2021-04-08 2022-05-12 Zf Friedrichshafen Ag Computerimplementiertes Verfahren und System zum Trainieren eines maschinellen Lernverfahrens
US20230003871A1 (en) * 2021-06-30 2023-01-05 Zoox, Inc. Associating radar data with tracked objects
CN113792637B (zh) * 2021-09-07 2023-10-03 浙江大学 一种基于激光点云的目标车辆位置速度估计方法
CN115965684A (zh) * 2021-10-12 2023-04-14 奥林巴斯株式会社 医学成像系统及其操作方法、模拟器官的三维模型的局部变形的方法
CN113971673B (zh) * 2021-10-29 2026-02-06 北京经纬恒润科技股份有限公司 一种点云分割方法及装置
EP4194885B1 (en) 2021-12-09 2025-10-15 Aptiv Technologies AG Method for determining the mobility status of a target object
US12510656B2 (en) * 2021-12-22 2025-12-30 Intel Corporation Apparatus, system, and method of processing point cloud radar information
US20230341545A1 (en) * 2022-04-26 2023-10-26 GM Cruise Holdings LLC. Near field radar beamforming
US12221115B1 (en) 2022-04-29 2025-02-11 Zoox, Inc. Self-supervised global velocity determination for perception system
DE102022121868A1 (de) * 2022-08-30 2024-02-29 Bayerische Motoren Werke Aktiengesellschaft Verfahren und Assistenzeinrichtung zum Klassifizieren von Sensordetektionen basierend auf Punktwolken und entsprechend eingerichtetes Kraftfahrzeug
CN115150439B (zh) * 2022-09-02 2023-01-24 北京电科智芯科技有限公司 感知数据的解析方法、系统及存储介质、电子设备
CN115690727B (zh) * 2022-09-14 2025-09-09 北京罗克维尔斯科技有限公司 骑行人跟踪方法、装置、设备、存储介质及车辆
CN115923847B (zh) * 2023-03-15 2023-06-02 安徽蔚来智驾科技有限公司 自动驾驶车辆的感知信息的预处理方法、装置及车辆
US12499003B2 (en) 2024-01-10 2025-12-16 Oracle International Corporation Configurable circular buffer for streaming multivariate ML estimation

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017156847A (ja) 2016-02-29 2017-09-07 セコム株式会社 物体検出装置
US20170371348A1 (en) 2017-09-07 2017-12-28 GM Global Technology Operations LLC Ground reference determination for autonomous vehicle operations
US20180046649A1 (en) 2016-08-12 2018-02-15 Aquifi, Inc. Systems and methods for automatically generating metadata for media documents
CN109410321A (zh) 2018-10-17 2019-03-01 大连理工大学 基于卷积神经网络的三维重建方法
CN109906608A (zh) 2016-11-01 2019-06-18 松下电器(美国)知识产权公司 显示方法以及显示装置
US10330787B2 (en) 2016-09-19 2019-06-25 Nec Corporation Advanced driver-assistance system
CN110222953A (zh) 2018-12-29 2019-09-10 北京理工大学 一种基于深度学习的电能质量混合扰动分析方法

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7652618B2 (en) 2008-02-15 2010-01-26 Deere & Company Method and system for determining velocity by using variable or distinct sampling rates
US9858640B1 (en) * 2015-07-15 2018-01-02 Hrl Laboratories, Llc Device and method for merging 3D point clouds from sparsely distributed viewpoints
US10452068B2 (en) * 2016-10-17 2019-10-22 Uber Technologies, Inc. Neural network system for autonomous vehicle control
US20180349746A1 (en) * 2017-05-31 2018-12-06 Uber Technologies, Inc. Top-View Lidar-Based Object Detection
US10175697B1 (en) * 2017-12-21 2019-01-08 Luminar Technologies, Inc. Object identification and labeling tool for training autonomous vehicle controllers

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2017156847A (ja) 2016-02-29 2017-09-07 セコム株式会社 物体検出装置
US20180046649A1 (en) 2016-08-12 2018-02-15 Aquifi, Inc. Systems and methods for automatically generating metadata for media documents
US10330787B2 (en) 2016-09-19 2019-06-25 Nec Corporation Advanced driver-assistance system
CN109906608A (zh) 2016-11-01 2019-06-18 松下电器(美国)知识产权公司 显示方法以及显示装置
US20170371348A1 (en) 2017-09-07 2017-12-28 GM Global Technology Operations LLC Ground reference determination for autonomous vehicle operations
CN109410321A (zh) 2018-10-17 2019-03-01 大连理工大学 基于卷积神经网络的三维重建方法
CN110222953A (zh) 2018-12-29 2019-09-10 北京理工大学 一种基于深度学习的电能质量混合扰动分析方法

Also Published As

Publication number Publication date
EP4038408A1 (en) 2022-08-10
EP4038408B1 (en) 2025-07-23
CN114502979A (zh) 2022-05-13
JP2022549913A (ja) 2022-11-29
US20210096241A1 (en) 2021-04-01
WO2021067056A1 (en) 2021-04-08
US11520037B2 (en) 2022-12-06

Similar Documents

Publication Publication Date Title
JP7637674B2 (ja) 知覚システム
JP7611248B2 (ja) セマンティックおよび/または深度認識インスタンスセグメンテーションのためのマルチタスク学習
JP7662628B2 (ja) オブジェクトの検出及び追跡
US11663726B2 (en) Object velocity and/or yaw rate detection and tracking
US11010907B1 (en) Bounding box selection
US10936902B1 (en) Training bounding box selection
JP7640567B2 (ja) レーダー追跡されたオブジェクト速度及び/又はヨー
US20220092983A1 (en) Trajectory prediction on top-down scenes and associated model
US12189718B1 (en) Learned state covariances
US11628855B1 (en) Object velocity detection from multi-modal sensor data
JP7655906B2 (ja) クロスバッチ正規化
US12260651B2 (en) Machine-learned architecture for efficient object attribute and/or intention classification
CN114787581A (zh) 传感器数据对齐和环境映射的校正
US12221115B1 (en) Self-supervised global velocity determination for perception system
US12449543B2 (en) Out of sequence perception system
US12416730B1 (en) Object detection and tracking using machine learning transformer models with attention
US11798122B2 (en) Vision architecture
US12175764B1 (en) Learned deconvolutional upsampling decoding layer
US12286104B2 (en) Image synthesis for discrete track prediction
US12576859B1 (en) Object classification with out-of-distribution detection
US12559099B1 (en) Machine-learned model architecture for predicting future object state
US12307784B1 (en) Object detection using augmented data
WO2022147382A2 (en) Object uncertainty models

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230920

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20230920

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20240531

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20240702

A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20241002

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20250121

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20250217

R150 Certificate of patent or registration of utility model

Ref document number: 7637674

Country of ref document: JP

Free format text: JAPANESE INTERMEDIATE CODE: R150