EP3762903A4 - System und verfahren zur fahrzeugraddetektion - Google Patents

System und verfahren zur fahrzeugraddetektion Download PDF

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Publication number
EP3762903A4
EP3762903A4 EP19774547.4A EP19774547A EP3762903A4 EP 3762903 A4 EP3762903 A4 EP 3762903A4 EP 19774547 A EP19774547 A EP 19774547A EP 3762903 A4 EP3762903 A4 EP 3762903A4
Authority
EP
European Patent Office
Prior art keywords
vehicle wheel
wheel detection
detection
vehicle
wheel
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
EP19774547.4A
Other languages
English (en)
French (fr)
Other versions
EP3762903A1 (de
Inventor
Panqu Wang
Pengfei Chen
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.)
Tusimple Inc
Original Assignee
Tusimple 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 US15/917,331 external-priority patent/US10671873B2/en
Application filed by Tusimple Inc filed Critical Tusimple Inc
Publication of EP3762903A1 publication Critical patent/EP3762903A1/de
Publication of EP3762903A4 publication Critical patent/EP3762903A4/de
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00—Registering or indicating the working of vehicles
    • G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808—Diagnosing performance data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
EP19774547.4A 2018-03-09 2019-03-08 System und verfahren zur fahrzeugraddetektion Pending EP3762903A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/917,331 US10671873B2 (en) 2017-03-10 2018-03-09 System and method for vehicle wheel detection
PCT/US2019/021478 WO2019190726A1 (en) 2018-03-09 2019-03-08 System and method for vehicle wheel detection

Publications (2)

Publication Number Publication Date
EP3762903A1 EP3762903A1 (de) 2021-01-13
EP3762903A4 true EP3762903A4 (de) 2021-12-08

Family

ID=68060692

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19774547.4A Pending EP3762903A4 (de) 2018-03-09 2019-03-08 System und verfahren zur fahrzeugraddetektion

Country Status (4)

Country Link
EP (1) EP3762903A4 (de)
CN (2) CN111837163B (de)
AU (2) AU2019241892B2 (de)
WO (1) WO2019190726A1 (de)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11797277B2 (en) * 2019-10-22 2023-10-24 Shenzhen Corerain Technologies Co., Ltd. Neural network model conversion method server, and storage medium
CN113223045B (zh) * 2021-05-19 2024-06-11 北京数研科技发展有限公司 基于动态物体语义分割的视觉与imu传感器融合定位系统
CN113590980B (zh) * 2021-07-20 2024-03-29 北京地平线机器人技术研发有限公司 训练神经网络的方法、预测轨迹的方法及装置
CN113963061B (zh) * 2021-10-29 2024-07-12 广州文远知行科技有限公司 路沿分布信息获取方法、装置、电子设备和存储介质

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107577988A (zh) * 2017-08-03 2018-01-12 东软集团股份有限公司 实现侧方车辆定位的方法、装置及存储介质、程序产品

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US9488492B2 (en) * 2014-03-18 2016-11-08 Sri International Real-time system for multi-modal 3D geospatial mapping, object recognition, scene annotation and analytics
CN103794056B (zh) * 2014-03-06 2015-09-30 北京卓视智通科技有限责任公司 基于实时双路视频流的车型精确分类系统及方法
US9704043B2 (en) * 2014-12-16 2017-07-11 Irobot Corporation Systems and methods for capturing images and annotating the captured images with information
CN105118044B (zh) * 2015-06-16 2017-11-07 华南理工大学 一种轮形铸造产品缺陷自动检测方法
US9720415B2 (en) * 2015-11-04 2017-08-01 Zoox, Inc. Sensor-based object-detection optimization for autonomous vehicles
CN105976392B (zh) * 2016-05-30 2018-12-14 北京智芯原动科技有限公司 基于最大输出概率的车辆轮胎检测方法及装置
CN106250838A (zh) * 2016-07-27 2016-12-21 乐视控股（北京）有限公司 车辆识别方法及系统
CN107346437B (zh) * 2017-07-03 2019-08-09 大连理工大学 车身侧视图参数化模型的自动提取方法
CN107292291B (zh) * 2017-07-19 2020-04-03 北京智芯原动科技有限公司 一种车辆识别方法和系统

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107577988A (zh) * 2017-08-03 2018-01-12 东软集团股份有限公司 实现侧方车辆定位的方法、装置及存储介质、程序产品

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
FROHLICH BJORN ET AL: "Is it safe to change the lane? - Visual exploration of adjacent lanes for autonomous driving", 17TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 8 October 2014 (2014-10-08), pages 2304 - 2309, XP032685984 *
LIANG-CHIEH CHEN ET AL: "Rethinking Atrous Convolution for Semantic Image Segmentation", 17 June 2017 (2017-06-17), XP055558070, Retrieved from the Internet <URL:https://arxiv.org/pdf/1706.05587v1.pdf> *
See also references of WO2019190726A1 *
WANG PANQU ET AL: "Understanding Convolution for Semantic Segmentation", 9 November 2017 (2017-11-09), XP055855519, Retrieved from the Internet <URL:https://arxiv.org/pdf/1702.08502v2.pdf> [retrieved on 20211027] *
XUE YAO ET AL: "Vehicle detection and pose estimation by probabilistic representation", 2017 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE, 17 September 2017 (2017-09-17), pages 3355 - 3359, XP033323197 *

Also Published As

Publication number Publication date
CN115331198A (zh) 2022-11-11
AU2019241892B2 (en) 2024-03-28
EP3762903A1 (de) 2021-01-13
AU2019241892A1 (en) 2020-10-08
CN111837163A (zh) 2020-10-27
CN111837163B (zh) 2022-08-23
WO2019190726A1 (en) 2019-10-03
AU2024204394A1 (en) 2024-07-18

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