EP3948647A4 - Autonomous driving dataset generation with automatic object labelling methods and apparatuses - Google Patents

Autonomous driving dataset generation with automatic object labelling methods and apparatuses Download PDF

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Publication number
EP3948647A4
EP3948647A4 EP19922546.7A EP19922546A EP3948647A4 EP 3948647 A4 EP3948647 A4 EP 3948647A4 EP 19922546 A EP19922546 A EP 19922546A EP 3948647 A4 EP3948647 A4 EP 3948647A4
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EP
European Patent Office
Prior art keywords
apparatuses
autonomous driving
automatic object
dataset generation
labelling methods
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
EP19922546.7A
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German (de)
French (fr)
Other versions
EP3948647A1 (en
Inventor
Yimin Zhang
Haibing Ren
Xiangbin WU
Ignacio Alvarez
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.)
Intel Corp
Original Assignee
Intel Corp
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 Intel Corp filed Critical Intel Corp
Publication of EP3948647A1 publication Critical patent/EP3948647A1/en
Publication of EP3948647A4 publication Critical patent/EP3948647A4/en
Pending legal-status Critical Current

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    • 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
    • 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
    • G06N3/08—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
    • G06V10/70—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; 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
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0062—Adapting control system settings
    • B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
    • B60W2050/0083—Setting, resetting, calibration
    • B60W2050/0088—Adaptive recalibration
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
    • B60W60/001—Planning or execution of driving tasks
    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)
EP19922546.7A 2019-04-01 2019-04-01 Autonomous driving dataset generation with automatic object labelling methods and apparatuses Pending EP3948647A4 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/080776 WO2020199072A1 (en) 2019-04-01 2019-04-01 Autonomous driving dataset generation with automatic object labelling methods and apparatuses

Publications (2)

Publication Number Publication Date
EP3948647A1 EP3948647A1 (en) 2022-02-09
EP3948647A4 true EP3948647A4 (en) 2022-11-16

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP19922546.7A Pending EP3948647A4 (en) 2019-04-01 2019-04-01 Autonomous driving dataset generation with automatic object labelling methods and apparatuses

Country Status (3)

Country Link
EP (1) EP3948647A4 (en)
CN (1) CN113366488A (en)
WO (1) WO2020199072A1 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112612283B (en) * 2020-12-24 2024-01-16 新石器(盐城)智能制造有限公司 Sensor calibration method, device, equipment, system and medium
CN114155227B (en) * 2021-12-07 2024-01-26 苏州佳祺仕科技股份有限公司 Flexible product size detection method, device and system
DE102022000823B3 (en) * 2022-03-09 2023-08-10 Mercedes-Benz Group AG Method for calibrating at least one sensor in an environment sensor system for a large number of vehicles

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180373263A1 (en) * 2017-06-23 2018-12-27 Uber Technologies, Inc. Collision-avoidance system for autonomous-capable vehicles

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8537338B1 (en) * 2011-08-24 2013-09-17 Hrl Laboratories, Llc Street curb and median detection using LIDAR data
US10204279B2 (en) * 2015-07-30 2019-02-12 Magna Electronics Inc. Vehicle vision system with object detection
US20170297488A1 (en) * 2016-04-19 2017-10-19 GM Global Technology Operations LLC Surround view camera system for object detection and tracking
US20180262739A1 (en) * 2017-03-10 2018-09-13 Denso International America, Inc. Object detection system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180373263A1 (en) * 2017-06-23 2018-12-27 Uber Technologies, Inc. Collision-avoidance system for autonomous-capable vehicles

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
PEREIRA MARCELO ET AL: "Self calibration of multiple LIDARs and cameras on autonomous vehicles", ROBOTICS AND AUTONOMOUS SYSTEMS, ELSEVIER BV, AMSTERDAM, NL, vol. 83, 31 May 2016 (2016-05-31), pages 326 - 337, XP029674185, ISSN: 0921-8890, DOI: 10.1016/J.ROBOT.2016.05.010 *
See also references of WO2020199072A1 *

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Publication number Publication date
WO2020199072A1 (en) 2020-10-08
CN113366488A (en) 2021-09-07
EP3948647A1 (en) 2022-02-09

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