JP7511750B2 - 自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法 - Google Patents

自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法 Download PDF

Info

Publication number
JP7511750B2
JP7511750B2 JP2023517795A JP2023517795A JP7511750B2 JP 7511750 B2 JP7511750 B2 JP 7511750B2 JP 2023517795 A JP2023517795 A JP 2023517795A JP 2023517795 A JP2023517795 A JP 2023517795A JP 7511750 B2 JP7511750 B2 JP 7511750B2
Authority
JP
Japan
Prior art keywords
vehicle
vehicles
server
machine learning
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.)
Active
Application number
JP2023517795A
Other languages
English (en)
Japanese (ja)
Other versions
JP2023541967A (ja
JP2023541967A5 (https=
Inventor
ニコセヴィッシ・トゥドール
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.)
Aumovio Autonomous Mobility Germany GmbH
Original Assignee
Aumovio Autonomous Mobility Germany GmbH
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 Aumovio Autonomous Mobility Germany GmbH filed Critical Aumovio Autonomous Mobility Germany GmbH
Publication of JP2023541967A publication Critical patent/JP2023541967A/ja
Publication of JP2023541967A5 publication Critical patent/JP2023541967A5/ja
Application granted granted Critical
Publication of JP7511750B2 publication Critical patent/JP7511750B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06V10/7747—Organisation of the process, e.g. bagging or boosting
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761—Proximity, similarity or dissimilarity measures
    • 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
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06V10/776—Validation; Performance evaluation
    • 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
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Mathematical Physics (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)
JP2023517795A 2020-09-23 2021-09-21 自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法 Active JP7511750B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP20465562.5 2020-09-23
EP20465562 2020-09-23
PCT/EP2021/075936 WO2022063774A1 (en) 2020-09-23 2021-09-21 A continuously, adaptive detection computer-implemented method of environment features in autonomous and assisted driving of an ego-vehicle

Publications (3)

Publication Number Publication Date
JP2023541967A JP2023541967A (ja) 2023-10-04
JP2023541967A5 JP2023541967A5 (https=) 2024-05-24
JP7511750B2 true JP7511750B2 (ja) 2024-07-05

Family

ID=73005550

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023517795A Active JP7511750B2 (ja) 2020-09-23 2021-09-21 自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法

Country Status (6)

Country Link
US (1) US12511882B2 (https=)
EP (1) EP4217917B1 (https=)
JP (1) JP7511750B2 (https=)
KR (1) KR20230048434A (https=)
CN (1) CN116420175B (https=)
WO (1) WO2022063774A1 (https=)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12177740B2 (en) * 2021-09-28 2024-12-24 Univrses Ab Managing mobile data gathering agents
CN114722975B (zh) * 2022-06-08 2022-08-30 山东大学 基于模糊理论和大数据分析的驾驶意图识别方法及系统
WO2024065605A1 (en) * 2022-09-30 2024-04-04 Orange Method for sharing data
CN116353624A (zh) * 2022-12-23 2023-06-30 深圳元戎启行科技有限公司 一种自动驾驶系统接管处理方法
CN116504059B (zh) * 2023-04-25 2026-03-13 智道网联科技(北京)有限公司 道路拥堵确定方法、装置及电子设备、存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019008796A (ja) 2017-06-23 2019-01-17 ウーバー テクノロジーズ，インコーポレイテッド 自律可能車両用衝突回避システム
US20190226851A1 (en) 2016-08-30 2019-07-25 Continental Automotive Gmbh Driver assistance system for determining a position of a vehicle
WO2020049685A1 (ja) 2018-09-06 2020-03-12 本田技研工業株式会社 車両制御装置、自動運転車開発システム、車両制御方法、およびプログラム
US20200241543A1 (en) 2017-09-29 2020-07-30 Volkswagen Aktiengesellschaft Method and System for Updating a Control Model for Automatic Control of at Least One Mobile Unit

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102009039568A1 (de) * 2009-09-01 2010-05-06 Daimler Ag Verfahren und Vorrichtung zur Erkennung von Objekten
US10740658B2 (en) 2016-09-08 2020-08-11 Mentor Graphics Corporation Object recognition and classification using multiple sensor modalities
US11042155B2 (en) 2017-06-06 2021-06-22 Plusai Limited Method and system for closed loop perception in autonomous driving vehicles
JP6946812B2 (ja) 2017-07-20 2021-10-06 株式会社デンソー 学習サーバ及び支援システム
US11328210B2 (en) 2017-12-29 2022-05-10 Micron Technology, Inc. Self-learning in distributed architecture for enhancing artificial neural network
EP3820753B1 (en) * 2018-07-14 2023-08-02 Moove.AI Vehicle-data analytics
US10755575B2 (en) * 2018-08-30 2020-08-25 Cisco Technology, Inc. Raw sensor data sharing for enhanced fleet-wide environmental awareness and safety
US11521009B2 (en) 2018-09-04 2022-12-06 Luminar, Llc Automatically generating training data for a lidar using simulated vehicles in virtual space
US11148676B2 (en) 2019-03-29 2021-10-19 Intel Corporation Detection of an anomalous image associated with image data from one or more cameras of a computer-aided or autonomous driving vehicle
KR102895049B1 (ko) 2019-05-14 2025-12-02 삼성전자주식회사 차량의 주행을 보조하는 전자 장치 및 방법
CN111290381A (zh) * 2020-02-10 2020-06-16 深圳前海微众银行股份有限公司 基于无人车的联邦学习实验系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190226851A1 (en) 2016-08-30 2019-07-25 Continental Automotive Gmbh Driver assistance system for determining a position of a vehicle
JP2019008796A (ja) 2017-06-23 2019-01-17 ウーバー テクノロジーズ，インコーポレイテッド 自律可能車両用衝突回避システム
US20200241543A1 (en) 2017-09-29 2020-07-30 Volkswagen Aktiengesellschaft Method and System for Updating a Control Model for Automatic Control of at Least One Mobile Unit
WO2020049685A1 (ja) 2018-09-06 2020-03-12 本田技研工業株式会社 車両制御装置、自動運転車開発システム、車両制御方法、およびプログラム

Also Published As

Publication number Publication date
US12511882B2 (en) 2025-12-30
CN116420175B (zh) 2026-02-10
EP4217917A1 (en) 2023-08-02
JP2023541967A (ja) 2023-10-04
US20230368506A1 (en) 2023-11-16
EP4217917B1 (en) 2026-01-28
KR20230048434A (ko) 2023-04-11
WO2022063774A1 (en) 2022-03-31
CN116420175A (zh) 2023-07-11

Similar Documents

Publication Publication Date Title
JP7511750B2 (ja) 自車両の自動運転及び支援運転における環境特徴の連続適応型検出コンピュータ実装方法
US11830253B2 (en) Semantically aware keypoint matching
JP7757865B2 (ja) マルチモーダル自動ラベル付けと能動的学習のためのデータセットとモデル管理のためのシステムと方法
CN111016921B (zh) 用于确定车辆数据集熟悉度的系统和方法
CN111767831B (zh) 用于处理图像的方法、装置、设备及存储介质
CN108764137A (zh) 基于语义分割的车辆行驶车道定位方法
WO2012004553A1 (en) Assisting vehicle guidance over terrain
US12380689B2 (en) Managing occlusion in Siamese tracking using structured dropouts
JP2023541967A5 (https=)
CN112622892B (zh) 基于人脸和肢体姿态识别的紧急制动方法及系统
KR20190131206A (ko) 영상의 전역 문맥 정보를 활용하는 딥러닝 기반 물체 검출 방법 및 시스템
CN111583716B (zh) 一种车辆避障方法、装置、电子设备及存储介质
CN114118188A (zh) 针对待检测图像中移动对象的处理系统、方法和存储介质
CN120526407A (zh) 一种基于奖励机制的安全自动驾驶方法
CN106650814B (zh) 一种基于车载单目视觉室外道路自适应分类器生成方法
Al Mamun et al. Efficient lane marking detection using deep learning technique with differential and cross-entropy loss.
Merugu et al. Multi lane detection, curve fitting and lane type classification
CN117671617A (zh) 一种集装箱港口环境下的实时车道识别方法
CN116977246B (zh) 基于视频的异常检测方法、装置、设备及存储介质
CN119068447A (zh) 一种交通信号灯识别方法及其装置、存储介质
Madhumitha et al. Development of a deep learning image classification network based on vehicular collision using instance mask guided attention
CN119131758B (zh) 基于自动驾驶场景的大模型应用方法、装置、设备及介质
Seo Semantic Segmentation and Real-time Tracking of Vehicle Drivable Areas using a Supervised Deep Learning Approach
Ake et al. Tracking and segmentation of vehicles in traffic video
Madhumitha et al. AutoNav: A Lane and Object Detection Model for Self-Driving Cars

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20230316

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20230316

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20240208

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20240221

A524 Written submission of copy of amendment under article 19 pct

Free format text: JAPANESE INTERMEDIATE CODE: A524

Effective date: 20240516

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: 20240529

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20240625