FR3099839B1 - Procede de reconnaissance de panneau de signalisation routiere dans des intemperies - Google Patents

Procede de reconnaissance de panneau de signalisation routiere dans des intemperies Download PDF

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Publication number
FR3099839B1
FR3099839B1 FR1909087A FR1909087A FR3099839B1 FR 3099839 B1 FR3099839 B1 FR 3099839B1 FR 1909087 A FR1909087 A FR 1909087A FR 1909087 A FR1909087 A FR 1909087A FR 3099839 B1 FR3099839 B1 FR 3099839B1
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Prior art keywords
traffic sign
bad weather
road
image
recognition method
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FR1909087A
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FR3099839A1 (fr
Inventor
Wencheng Wang
Zairui Gao
Liuchen Tai
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Weifang University
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Weifang University
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/73—Deblurring; Sharpening
    • G06T5/75—Unsharp masking
    • 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
    • G06V10/273—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion removing elements interfering with the pattern to be recognised
    • 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
    • G06V10/30—Noise filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Traffic Control Systems (AREA)

Abstract

L’invention concerne un procédé de reconnaissance de panneau de signalisation routière dans des intempéries, qui comprend : traiter une image capturée, obtenant une image nettoyée après un enlèvement des intempéries; effectuer une détection de panneau de signalisation sur l’image nettoyée; effectuer une reconnaissance de type de panneau de signalisation sur l’image de panneau de signalisation détectée. La solution technique proposée par l'invention adopte une cascade de réseau de neurones en convolution pour identifier le type de panneau de signalisation, améliorant ainsi l'efficacité et la précision de la classification. L’invention permet de reconnaître la type d’un panneau de signalisation routière dans des intempéries rapidement et précisément, facilitant la résolution du problème que dans des intempéries, dû à l’obstruction de la vue, un conducteur ne peut pas capturer l’information de signalisation dans la route en temps opportun et précisément, et favorisant l’assurance de sécurité de transport routier et l’amélioration d’efficacité de transport. Figure à publier avec l’abrégé : Fig. 1
FR1909087A 2019-08-08 2019-08-08 Procede de reconnaissance de panneau de signalisation routiere dans des intemperies Active FR3099839B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
FR1909087A FR3099839B1 (fr) 2019-08-08 2019-08-08 Procede de reconnaissance de panneau de signalisation routiere dans des intemperies

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR1909087A FR3099839B1 (fr) 2019-08-08 2019-08-08 Procede de reconnaissance de panneau de signalisation routiere dans des intemperies
FR1909087 2019-08-08

Publications (2)

Publication Number Publication Date
FR3099839A1 FR3099839A1 (fr) 2021-02-12
FR3099839B1 true FR3099839B1 (fr) 2022-07-01

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Family Applications (1)

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FR1909087A Active FR3099839B1 (fr) 2019-08-08 2019-08-08 Procede de reconnaissance de panneau de signalisation routiere dans des intemperies

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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113591543B (zh) * 2021-06-08 2024-03-26 广西综合交通大数据研究院 交通标志识别方法、装置、电子设备及计算机存储介质
CN117409298B (zh) * 2023-12-15 2024-04-02 西安航空学院 针对路面车辆识别的多尺寸目标精确识别方法及设备

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