The classification of traffic sign base on fuzzy characteristics training set

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 6, Issue , 2004, Pages 5266-5270

  Zhu, Shuangdong ^a  

^a NINGBO UNIVERSITY   (China)

Author keywords

Fuzzy Characteristics Training set; ITS (Intelligent transportation system); Neural network; Road Traffic signs

Indexed keywords

CONVERGENCE RATE; FUZZY CHARACTERISTICS TRAINING SET; ROAD TRAFFIC SIGNS;

FUZZY SETS; GAUSSIAN NOISE (ELECTRONIC); HIERARCHICAL SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; PERSONNEL TRAINING;

TRAFFIC SIGNALS;

EID: 4444315266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. L.Priese, J.Klieber, R.Lakmann, V.Rehrmann, and R.Schian, New Results on Traffic Sign Recognition, In Proceedings of the Intelligent Vehicles Symposium, IEEE, 1994, Paris, Oct.24-26
2. Rehrmann, R. Lakmann, L. Priese, A Parallel System for Real-time Traffic Sign Recognition, Proceedings "International Workshop on Advanced Parallel Processing Technologies '95 (APPT)", pp. 72-78, Peking, 26-27th September, 1995, Publishing House of Electronics Industry
3. ZHU Shuangdong, Ai Zhibin, Chen Xiyuan, On Color Image Smoothing Processing Based on Color Space Transformation, Proceedings of the IEEE International Vehicle Electronics Conference (IEEE IVEC'99, 6-9 September, 1999), pp.271-274, 1999.8, Changchun, China
4. A. de la Escalera, J. M Armingol and M. Mata. Traffic sign recognition and analysis for intelligent vehicles, Image and Vision Computing, Volume 21, Issue 3, 1 March 2003, Pages 247-258