FR2959851A1 - Disparity card repairing method for motor vehicle, involves evaluating confidence index for processing by repairing plane surfaces, and selecting processing with high confidence index to process evaluated spot - Google Patents

Disparity card repairing method for motor vehicle, involves evaluating confidence index for processing by repairing plane surfaces, and selecting processing with high confidence index to process evaluated spot Download PDF

Info

Publication number
FR2959851A1
FR2959851A1 FR1001979A FR1001979A FR2959851A1 FR 2959851 A1 FR2959851 A1 FR 2959851A1 FR 1001979 A FR1001979 A FR 1001979A FR 1001979 A FR1001979 A FR 1001979A FR 2959851 A1 FR2959851 A1 FR 2959851A1
Authority
FR
France
Prior art keywords
processing
confidence index
spot
repairing
motor vehicle
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.)
Granted
Application number
FR1001979A
Other languages
French (fr)
Other versions
FR2959851B1 (en
Inventor
Christophe Vestri
Frederic Abad
Remy Bendahan
Sebastien Wybo
Dzmitry Tsishkou
Sylvain Bougnoux
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.)
IMRA Europe SAS
Original Assignee
IMRA Europe SAS
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 IMRA Europe SAS filed Critical IMRA Europe SAS
Priority to FR1001979A priority Critical patent/FR2959851B1/en
Publication of FR2959851A1 publication Critical patent/FR2959851A1/en
Application granted granted Critical
Publication of FR2959851B1 publication Critical patent/FR2959851B1/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/50Depth or shape recovery
    • G06T7/55Depth or shape recovery from multiple images
    • G06T7/593Depth or shape recovery from multiple images from stereo images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • G06T2207/10021Stereoscopic video; Stereoscopic image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30248Vehicle exterior or interior
    • G06T2207/30252Vehicle exterior; Vicinity of vehicle
    • G06T2207/30261Obstacle

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Length Measuring Devices With Unspecified Measuring Means (AREA)

Abstract

The method involves evaluating a confidence index for processing by filling a spot, based on semantic information, and evaluating another confidence index for processing by repairing vertical/continuous surfaces and interpolation of disparity values along scanning lines within the spot. A third confidence index is evaluated for processing by repairing plane surfaces by extracting contours of the spot, and evaluation of presence of a plane within the spot. The processing with the high confidence index to process the evaluated spot is selected. An independent claim is also included for a method for detecting an obstacle.
FR1001979A 2010-05-07 2010-05-07 PROCESS FOR FILLING THE UNEQUARED REGIONS OF A DISPARITY CARD Expired - Fee Related FR2959851B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1001979A FR2959851B1 (en) 2010-05-07 2010-05-07 PROCESS FOR FILLING THE UNEQUARED REGIONS OF A DISPARITY CARD

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
FR1001979A FR2959851B1 (en) 2010-05-07 2010-05-07 PROCESS FOR FILLING THE UNEQUARED REGIONS OF A DISPARITY CARD

Publications (2)

Publication Number Publication Date
FR2959851A1 true FR2959851A1 (en) 2011-11-11
FR2959851B1 FR2959851B1 (en) 2013-04-19

Family

ID=43242504

Family Applications (1)

Application Number Title Priority Date Filing Date
FR1001979A Expired - Fee Related FR2959851B1 (en) 2010-05-07 2010-05-07 PROCESS FOR FILLING THE UNEQUARED REGIONS OF A DISPARITY CARD

Country Status (1)

Country Link
FR (1) FR2959851B1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104112268A (en) * 2013-04-22 2014-10-22 株式会社理光 Sparse parallax image processing method, sparse parallax image processing device, object detection method, and object detection device

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108563237B (en) * 2018-03-30 2021-03-23 北京润科通用技术有限公司 Collaborative obstacle avoidance method and device

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
BIRDAL, TOLGA AND ERÇIL, AYTÜL: "Real-time automated road, lane and car detection for autonomous driving", PROCEEDINGS OF DSPINCARS 2007, 17 June 2007 (2007-06-17), Istanbul, Turkey, XP002613905, Retrieved from the Internet <URL:http://research.sabanciuniv.edu/6693/1/tolga.pdf> [retrieved on 20101210] *
KALKAN S ET AL: "Depth prediction at homogeneous image structures", VISAPP 2008. THIRD INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS - 22-25 JAN. 2008 - MADEIRA, PORTUGAL,, 22 January 2008 (2008-01-22), pages 520 - 527, XP009142270 *
LABAYRADE R., AUBERT D.,: "In-Vehicle Obstacles Detection and Characterization by Stereovision", IEEE IN-VEHICLE COGNITIVE COMPUTER VISION SYSTEMS 2003, 3 April 2003 (2003-04-03), Graz, Austria, XP002613904, Retrieved from the Internet <URL:http://imagelab.ing.unimore.it/ivccvs/02_labayrade.pdf> [retrieved on 20101210] *
QIAN YU ET AL: "A Stereovision Method for Obstacle Detection and Tracking in Non-Flat Urban Environments", AUTONOMOUS ROBOTS, KLUWER ACADEMIC PUBLISHERS, BO, vol. 19, no. 2, 1 September 2005 (2005-09-01), pages 141 - 157, XP019204926, ISSN: 1573-7527, DOI: DOI:10.1007/S10514-005-0612-6 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104112268A (en) * 2013-04-22 2014-10-22 株式会社理光 Sparse parallax image processing method, sparse parallax image processing device, object detection method, and object detection device
EP2797033A1 (en) * 2013-04-22 2014-10-29 Ricoh Company, Ltd. Method and apparatus for processing sparse disparity map, and method and apparatus for detecting object
JP2014216016A (en) * 2013-04-22 2014-11-17 株式会社リコー Sparse disparity image processing method and apparatus, and object detection method and apparatus

Also Published As

Publication number Publication date
FR2959851B1 (en) 2013-04-19

Similar Documents

Publication Publication Date Title
MX2017008971A (en) Pedestrian detection when a vehicle is reversing.
WO2012092246A3 (en) Methods, systems, and computer-readable storage media for identifying a rough depth map in a scene and for determining a stereo-base distance for three-dimensional (3d) content creation
WO2014200589A3 (en) Determining positional information for an object in space
MX2016013343A (en) Testbed for lane boundary detection in virtual driving environment.
WO2011116265A3 (en) Vehicle navigation system and method for determining a degree of curviness of a route
WO2012008702A3 (en) Robot cleaner and controlling method of the same
GB201300283D0 (en) Method and control unit for monitoring traffic
WO2014071221A3 (en) Optical surface identification for laser surgery
GB201116959D0 (en) Vehicle localisation with 2d laser scanner and 3d prior scans
RU2014113945A (en) METHOD FOR EVALUATING A PARK FOR PARKING A VEHICLE
EP2487454A3 (en) Vehicle length estimation
WO2013188597A3 (en) Irregular feature mapping
MY165980A (en) Method and apparatus for reproducing threre-dimensional sound
EP2592386A3 (en) Position determination method
WO2010121584A8 (en) Method for classifying an object as an obstacle
WO2012135220A3 (en) Real-time depth extraction using stereo correspondence
WO2013173185A8 (en) Programmable and scalable searching for candidate blocks for inter-coding or intra coding
MY158374A (en) Three-dimensional object detection device and three-dimensional object detection method
NZ629555A (en) Monocyte biomarkers for cancer detection
NZ612810A (en) Apparatus and methods for tracking the location of fracturing fluid in a subterranean formation
MX2017005116A (en) Travel route calculation device.
WO2013049704A3 (en) Method and system of particle-phage epitope complex
WO2014199179A3 (en) Downhole detection
WO2014031870A3 (en) Management of tax information based on topographical information
EP2743861A3 (en) Method and device for detecting continuous object in disparity direction based on disparity map

Legal Events

Date Code Title Description
PLFP Fee payment

Year of fee payment: 7

PLFP Fee payment

Year of fee payment: 8

PLFP Fee payment

Year of fee payment: 9

PLFP Fee payment

Year of fee payment: 10

PLFP Fee payment

Year of fee payment: 11

ST Notification of lapse

Effective date: 20220105