Soft system for road sign detection

被引:10
|
作者
Cyganek, Boguslaw [1 ]
机构
[1] Univ Sci & Technol, AGH, PL-30059 Krakow, Poland
来源
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES | 2007年 / 41卷
关键词
RECOGNITION;
D O I
10.1007/978-3-540-72432-2_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper a fuzzy system for detection of the triangular and rectangular traffic signs is presented. In many sign recognition systems reliable and fast shape detection is a prerequisite for successful classification. The proposed method operates on colour images in which it detects the characteristic points of signs by sets of fuzzy rules. These points are used then for extraction of the shapes that fulfil the fuzzy verification rules. The method allows very accurate and real-time detection of the planar triangles, inverted triangles, rectangles, and diamond shapes. The presented detector is a part of a driver-assisting-system for recognition of the road signs. The experimental results verify the method accuracy and robustness.
引用
收藏
页码:316 / 326
页数:11
相关论文
共 50 条
  • [31] Multiview road sign detection via self-adaptive color model and shape context matching
    Liu, Chunsheng
    Chang, Faliang
    Liu, Chengyun
    JOURNAL OF ELECTRONIC IMAGING, 2016, 25 (05)
  • [32] Traffic Sign Detection in Dual-Focal Active Camera System
    Gu, Yanlei
    Yendo, Tomohiro
    Tehrani, Mehrdad Panahpour
    Fujii, Toshiaki
    Tanimoto, Masayuki
    2011 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2011, : 1054 - 1059
  • [33] Enhancement for road sign images and its performance evaluation
    Yang, Xing
    OPTIK, 2013, 124 (14): : 1957 - 1960
  • [34] Road sign detecting using cumulative bivariate transforms
    Belaroussi, Rachid
    Tarel, Jean-Philippe
    TRAITEMENT DU SIGNAL, 2010, 27 (03) : 265 - 296
  • [35] Overview on Traffic Sign Detection
    He, Xin
    Li, Ya-hong
    Li, Zhi-min
    Wen, Si-ao
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: TECHNIQUES AND APPLICATIONS, AITA 2016, 2016, : 150 - 153
  • [36] Mobilenet based traffic sign detection system for mobile mapping: Crowdsourced geographical data collection system
    Tatar, Ceren Ozcan
    Yilmaz, Emrah
    Efe, Abdullah
    Sonmez, Berk
    Ozdemir, Yalcin
    Danisan, Burak
    Beyaz, Hale Irem
    Yegnidemir, Engin
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2024, 39 (04): : 2305 - 2315
  • [37] Generalized Traffic Sign Detection Model for Developing a Sign Inventory
    Tsai, Yichang
    Kim, Pilho
    Wang, Zhaohua
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2009, 23 (05) : 266 - 276
  • [38] The role of peripheral vision in vertical road sign identification and discrimination
    Costa, Marco
    Bonetti, Leonardo
    Vignali, Valeria
    Lantieri, Claudio
    Simone, Andrea
    ERGONOMICS, 2018, 61 (12) : 1619 - 1634
  • [39] Road Sign Identification with Convolutional Neural Network Using TensorFlow
    Kherarba, Mohammed
    Abbes, Mounir Tahar
    Boumerdassi, Selma
    Meddah, Mohammed
    Benhamada, Abdelhak
    Senouci, Mohammed
    MACHINE LEARNING FOR NETWORKING, MLN 2020, 2021, 12629 : 255 - 264
  • [40] Pause detection in continuous sign language
    Khan, Shujjat
    Bailey, Donald G.
    Sen Gupta, Gourab
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2014, 50 (1-2) : 75 - 83