SG11202103814PA - Vehicle positioning method based on deep neural network image recognition - Google Patents

Vehicle positioning method based on deep neural network image recognition

Info

Publication number
SG11202103814PA
SG11202103814PA SG11202103814PA SG11202103814PA SG11202103814PA SG 11202103814P A SG11202103814P A SG 11202103814PA SG 11202103814P A SG11202103814P A SG 11202103814PA SG 11202103814P A SG11202103814P A SG 11202103814PA SG 11202103814P A SG11202103814P A SG 11202103814PA
Authority
SG
Singapore
Prior art keywords
neural network
method based
image recognition
positioning method
deep neural
Prior art date
Application number
SG11202103814PA
Inventor
Jianghua Feng
Yunqing Hu
Hao Yuan
Jun Lin
Yue Liu
Jun You
Qunfang Xiong
Chi Ding
Wei Yue
Original Assignee
Crrc Zhuzhou Institute Co Ltd
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 Crrc Zhuzhou Institute Co Ltd filed Critical Crrc Zhuzhou Institute Co Ltd
Publication of SG11202103814PA publication Critical patent/SG11202103814PA/en

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
    • G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30—Map- or contour-matching
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • 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
    • G06V10/24—Aligning, centring, orientation detection or correction of the image
    • G06V10/245—Aligning, centring, orientation detection or correction of the image by locating a pattern; Special marks for positioning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/09—Recognition of logos

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Remote Sensing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • Multimedia (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
SG11202103814PA 2018-10-24 2019-10-18 Vehicle positioning method based on deep neural network image recognition SG11202103814PA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811245274.1A CN109446973B (en) 2018-10-24 2018-10-24 Vehicle positioning method based on deep neural network image recognition
PCT/CN2019/111840 WO2020083103A1 (en) 2018-10-24 2019-10-18 Vehicle positioning method based on deep neural network image recognition

Publications (1)

Publication Number Publication Date
SG11202103814PA true SG11202103814PA (en) 2021-05-28

Family

ID=65547888

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202103814PA SG11202103814PA (en) 2018-10-24 2019-10-18 Vehicle positioning method based on deep neural network image recognition

Country Status (3)

Country Link
CN (1) CN109446973B (en)
SG (1) SG11202103814PA (en)
WO (1) WO2020083103A1 (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109446973B (en) * 2018-10-24 2021-01-22 中车株洲电力机车研究所有限公司 Vehicle positioning method based on deep neural network image recognition
CN110726414B (en) * 2019-10-25 2021-07-27 百度在线网络技术（北京）有限公司 Method and apparatus for outputting information
CN111161227B (en) * 2019-12-20 2022-09-06 成都数之联科技股份有限公司 Target positioning method and system based on deep neural network
CN113496594A (en) * 2020-04-03 2021-10-12 郑州宇通客车股份有限公司 Bus arrival control method, device and system
CN111914691B (en) * 2020-07-15 2024-03-19 北京埃福瑞科技有限公司 Rail transit vehicle positioning method and system
CN112699823A (en) * 2021-01-05 2021-04-23 浙江得图网络有限公司 Fixed-point returning method for sharing electric vehicle
CN112950922B (en) * 2021-01-26 2022-06-10 浙江得图网络有限公司 Fixed-point returning method for sharing electric vehicle
CN113378735B (en) * 2021-06-18 2023-04-07 北京东土科技股份有限公司 Road marking line identification method and device, electronic equipment and storage medium
EP4375856A1 (en) * 2021-08-19 2024-05-29 Zhejiang Geely Holding Group Co., Ltd. Environment matching-based vehicle localization method and apparatus, vehicle, and storage medium

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CN202350794U (en) * 2011-11-29 2012-07-25 高德软件有限公司 Navigation data acquisition device
US9940553B2 (en) * 2013-02-22 2018-04-10 Microsoft Technology Licensing, Llc Camera/object pose from predicted coordinates
CN103925927B (en) * 2014-04-18 2016-09-07 中国科学院软件研究所 A kind of traffic mark localization method based on Vehicular video
CN105718860B (en) * 2016-01-15 2019-09-10 武汉光庭科技有限公司 Localization method and system based on driving safety map and binocular Traffic Sign Recognition
US9773196B2 (en) * 2016-01-25 2017-09-26 Adobe Systems Incorporated Utilizing deep learning for automatic digital image segmentation and stylization
CN106326858A (en) * 2016-08-23 2017-01-11 北京航空航天大学 Road traffic sign automatic identification and management system based on deep learning
CN106403926B (en) * 2016-08-30 2020-09-11 上海擎朗智能科技有限公司 Positioning method and system
CN106845547B (en) * 2017-01-23 2018-08-14 重庆邮电大学 A kind of intelligent automobile positioning and road markings identifying system and method based on camera
US20180211120A1 (en) * 2017-01-25 2018-07-26 Ford Global Technologies, Llc Training An Automatic Traffic Light Detection Model Using Simulated Images
CN107563419B (en) * 2017-08-22 2020-09-04 交控科技股份有限公司 Train positioning method combining image matching and two-dimensional code
CN107703936A (en) * 2017-09-22 2018-02-16 南京轻力舟智能科技有限公司 Automatic Guided Vehicle system and dolly localization method based on convolutional neural networks
CN108009518A (en) * 2017-12-19 2018-05-08 大连理工大学 A kind of stratification traffic mark recognition methods based on quick two points of convolutional neural networks
CN109446973B (en) * 2018-10-24 2021-01-22 中车株洲电力机车研究所有限公司 Vehicle positioning method based on deep neural network image recognition

Also Published As

Publication number Publication date
WO2020083103A1 (en) 2020-04-30
CN109446973B (en) 2021-01-22
CN109446973A (en) 2019-03-08

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