Advanced driver assistance system: Road sign identification using VIAPIX system and a correlation technique |
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| Institution: | 1. Actris Brest, 24, Rue Victor Grignard, Guipavas, BP 30143, 29803 Brest Cedex 9, France;2. Equipe Vision, L@BISEN, ISEN-Brest, 20 rue Cuirassé Bretagne CS 42807, 29228 Brest Cedex 2, France;3. Université de Brest, Lab-STICC, 6 avenue Le Gorgeu, CS 93837, 29238 Brest Cedex 3, France;1. Guangdong Provincial Key Laboratory of Quantum Engineering and Quantum Materials, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China;2. Guangdong Provincial Engineering Research Center for Optoelectronic Instrument, School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou 510006, China;1. Universitat de Barcelona (UB), Facultat de Física, Departament de Física Aplicada, Martí i Franquès 1, 08028 Barcelona, Spain;2. Electrical and Computer Engineering Department, University of Connecticut, 371 Fairfield Road, Storrs, CT 06269-4157, USA;3. Universidad Complutense de Madrid, Facultad de Ciencias Físicas, Departamento de Óptica, Ciudad Universitaria s/n, 28040 Madrid, Spain;1. Department of Electronics and Communications Engineering Yildiz Technical University, Istanbul 34220, Turkey;2. Department of Electrical and Computer Engineering University of South Alabama, Mobile, AL 36688, USA |
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| Abstract: | We present a three-step approach based on the commercial VIAPIX® module for road traffic sign recognition and identification. Firstly, detection in a scene of all objects having characteristics of traffic signs is performed. This is followed by a first-level recognition based on correlation which consists in making a comparison between each detected object with a set of reference images of a database. Finally, a second level of identification allows us to confirm or correct the previous identification. In this study, we perform a correlation-based analysis by combining and adapting the Vander Lugt correlator with the nonlinear joint transformation correlator (JTC). Of particular significance, this approach permits to make a reliable decision on road traffic sign identification. We further discuss a robust scheme allowing us to track a detected road traffic sign in a video sequence for the purpose of increasing the decision performance of our system. This approach can have broad practical applications in the maintenance and rehabilitation of transportation infrastructure, or for drive assistance. |
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| Keywords: | Optical correlation VLC JTC Road traffic sign recognition and identification VIAPIX |
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