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
Other languages
English (en)
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 (zh) 2018-10-24 2018-10-24 一种基于深度神经网络图像识别的车辆定位方法
PCT/CN2019/111840 WO2020083103A1 (zh) 2018-10-24 2019-10-18 一种基于深度神经网络图像识别的车辆定位方法

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 (zh)
SG (1) SG11202103814PA (zh)
WO (1) WO2020083103A1 (zh)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109446973B (zh) * 2018-10-24 2021-01-22 中车株洲电力机车研究所有限公司 一种基于深度神经网络图像识别的车辆定位方法
CN110726414B (zh) * 2019-10-25 2021-07-27 百度在线网络技术（北京）有限公司 用于输出信息的方法和装置
CN111161227B (zh) * 2019-12-20 2022-09-06 成都数之联科技股份有限公司 一种基于深度神经网络的靶心定位方法及***
CN113496594A (zh) * 2020-04-03 2021-10-12 郑州宇通客车股份有限公司 一种公交车进站控制方法、装置及***
CN111914691B (zh) * 2020-07-15 2024-03-19 北京埃福瑞科技有限公司 一种轨道交通车辆定位方法及***
CN112699823A (zh) * 2021-01-05 2021-04-23 浙江得图网络有限公司 一种用于共享电动车的定点还车方法
CN112950922B (zh) * 2021-01-26 2022-06-10 浙江得图网络有限公司 一种共享电动车的定点还车方法
CN113378735B (zh) * 2021-06-18 2023-04-07 北京东土科技股份有限公司 一种道路标识线识别方法、装置、电子设备及存储介质
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

Family Cites Families (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202350794U (zh) * 2011-11-29 2012-07-25 高德软件有限公司 一种导航数据采集装置
US9940553B2 (en) * 2013-02-22 2018-04-10 Microsoft Technology Licensing, Llc Camera/object pose from predicted coordinates
CN103925927B (zh) * 2014-04-18 2016-09-07 中国科学院软件研究所 一种基于车载视频的交通标识定位方法
CN105718860B (zh) * 2016-01-15 2019-09-10 武汉光庭科技有限公司 基于驾驶安全地图及双目交通标志识别的定位方法及***
US9773196B2 (en) * 2016-01-25 2017-09-26 Adobe Systems Incorporated Utilizing deep learning for automatic digital image segmentation and stylization
CN106326858A (zh) * 2016-08-23 2017-01-11 北京航空航天大学 一种基于深度学习的公路交通标志自动识别与管理***
CN106403926B (zh) * 2016-08-30 2020-09-11 上海擎朗智能科技有限公司 一种定位方法和***
CN106845547B (zh) * 2017-01-23 2018-08-14 重庆邮电大学 一种基于摄像头的智能汽车定位与道路标识识别***及方法
US20180211120A1 (en) * 2017-01-25 2018-07-26 Ford Global Technologies, Llc Training An Automatic Traffic Light Detection Model Using Simulated Images
CN107563419B (zh) * 2017-08-22 2020-09-04 交控科技股份有限公司 图像匹配和二维码相结合的列车定位方法
CN107703936A (zh) * 2017-09-22 2018-02-16 南京轻力舟智能科技有限公司 基于卷积神经网络的自动导航小车***及小车定位方法
CN108009518A (zh) * 2017-12-19 2018-05-08 大连理工大学 一种基于快速二分卷积神经网络的层次化交通标识识别方法
CN109446973B (zh) * 2018-10-24 2021-01-22 中车株洲电力机车研究所有限公司 一种基于深度神经网络图像识别的车辆定位方法

Also Published As

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

Similar Documents

Publication Publication Date Title
SG11202103814PA (en) Vehicle positioning method based on deep neural network image recognition
SG11202012512RA (en) Method and system for facilitating recognition of vehicle parts based on a neural network
IL271092A (en) Classification of variants based on deep neural networks
SG11202011791SA (en) Pedestrian recognition method and device
EP3553789A4 (en) SYSTEM FOR DIAGNOSIS OF DISEASES WITH A NEURONAL NETWORK AND METHOD THEREFOR
EP3807837A4 (en) VEHICLE REIDENTIFICATION TECHNIQUES USING NEURAL NETWORKS FOR IMAGE ANALYSIS, VIEW-SENSITIVE PATTERN RECOGNITION AND GENERATION OF MULTI-VIEW VEHICLE REPRESENTATIONS
EP3692471A4 (en) PROCEDURE FOR OBJECT DETECTION
EP3850580A4 (en) CONDITIONING/EXPANSIONAL/DEPTH-SENSE CONVOLUTIONAL NETWORK FOR FACIAL RECOGNITION
EP3469582A4 (en) METHOD AND DEVICE FOR EXTRACTION OF STYLE PRESSURE INFORMATION BASED ON A NEURONAL NETWORK
MX2017008509A (es) Sistemas y metodos de deteccion de carril.
GB201800942D0 (en) Sign recognition for autonomous vehicles
EP3605141A4 (en) IMAGE DETECTING DEVICE AND DISTANCE IMAGING METHOD
EP3716000A4 (en) PROCESS FOR OPTIMIZING THE PARAMETERS OF ULTRASONIC IMAGING SYSTEMS BASED ON DEEP LEARNING
EP3869411A4 (en) INTENT IDENTIFICATION PROCESS BASED ON A DEEP LEARNING NETWORK
IL279599A (en) Phrase recognition model for autonomous vehicles
WO2015148369A3 (en) Invariant object representation of images using spiking neural networks
EP3881232A4 (en) DEEP NEURON NETWORK POSE ESTIMATION SYSTEM
EP3553739A4 (en) PICTURE IDENTIFICATION SYSTEM AND PICTURE IDENTIFICATION METHOD
EP3742328A4 (en) METHOD OF FATIGUE DETECTION BASED ON THE POSITIONING OF A FACIAL FEATURE POINT
SG11202008813PA (en) Image recognition system and method
EP3486863A4 (en) PICTURE IDENTIFICATION METHOD AND SENDING DEVICE
IL267181A (en) An object recognition system based on a general three-dimensional model that can be adjusted
EP3698290A4 (en) METHOD AND SYSTEM FOR THE REDUCTION OF ARCHITECTURES OF DEEP NEURAL NETWORKS
EP3794505A4 (en) METHOD AND DEVICE FOR IMAGE RECOGNITION
GB201818001D0 (en) Method and system for processing image data utlizing deep neural network