FR3081415B1 - METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS. - Google Patents

METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS. Download PDF

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Publication number
FR3081415B1
FR3081415B1 FR1854356A FR1854356A FR3081415B1 FR 3081415 B1 FR3081415 B1 FR 3081415B1 FR 1854356 A FR1854356 A FR 1854356A FR 1854356 A FR1854356 A FR 1854356A FR 3081415 B1 FR3081415 B1 FR 3081415B1
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France
Prior art keywords
curves
detections
representative
vehicle
determined
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FR1854356A
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French (fr)
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FR3081415A1 (en
Inventor
Loic Chambrin
Jean-Francois Layerle
Elodie Vanpoperinghe
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Stellantis Auto Sas Fr
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PSA Automobiles SA
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Priority to FR1854356A priority Critical patent/FR3081415B1/en
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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
    • G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • 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
    • G06F18/211—Selection of the most significant subset of features
    • G06F18/2113—Selection of the most significant subset of features by ranking or filtering the set of features, e.g. using a measure of variance or of feature cross-correlation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • 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
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/753—Transform-based matching, e.g. Hough transform

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

Un procédé d'analyse est mis en œuvre dans un véhicule (V) circulant sur une route (R) encadrée par des rambardes de sécurité (RS) et acquérant des informations représentatives de détections effectuées dans un environnement autour de lui et d'attributs de ces détections. Ce procédé comprend une étape dans laquelle : - on détermine N courbes représentatives de rambardes de sécurité (RS) en fonction d'informations acquises, puis NxM premières valeurs représentatives chacune d'une similitude entre l'une de ces N courbes et l'une de M détections acquises, puis, pour chacune de ces N courbes déterminées, une seconde valeur représentative d'une probabilité d'existence à partir des M premières valeurs la concernant, et - on retient en tant que rambardes de sécurité (RS) encadrant la route (R) les courbes ayant des secondes valeurs maximales déterminées à partir d'ensembles de détections disjoints.An analysis method is implemented in a vehicle (V) traveling on a road (R) framed by safety guardrails (RS) and acquiring information representative of detections made in an environment around it and of attributes of these detections. This method comprises a step in which: - N curves representative of guardrails (RS) are determined as a function of acquired information, then NxM first values each representative of a similarity between one of these N curves and one of M detections acquired, then, for each of these N determined curves, a second value representative of a probability of existence from the first M values relating to it, and - the safety guardrails (RS) surrounding the route (R) the curves having second maximum values determined from sets of disjoint detections.

FR1854356A 2018-05-24 2018-05-24 METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS. Active FR3081415B1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1854356A FR3081415B1 (en) 2018-05-24 2018-05-24 METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS.

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1854356A FR3081415B1 (en) 2018-05-24 2018-05-24 METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS.
FR1854356 2018-05-24

Publications (2)

Publication Number Publication Date
FR3081415A1 FR3081415A1 (en) 2019-11-29
FR3081415B1 true FR3081415B1 (en) 2023-04-14

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Application Number Title Priority Date Filing Date
FR1854356A Active FR3081415B1 (en) 2018-05-24 2018-05-24 METHOD AND DEVICE FOR ANALYZING THE ENVIRONMENT OF A VEHICLE TO RECONSTRUCT SAFETY GUARDS.

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FR (1) FR3081415B1 (en)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9053372B2 (en) * 2012-06-28 2015-06-09 Honda Motor Co., Ltd. Road marking detection and recognition

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FR3081415A1 (en) 2019-11-29

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