Classification of traffic signs in real-time on a multi-core processor

IEEE Intelligent Vehicles Symposium, Proceedings

Volumn , Issue , 2008, Pages 313-318

  Ach, R ^a   Luth, N ^a   Schinner, T ^a   Techmer, A ^a   Walther, S ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; DATA STORAGE EQUIPMENT; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; REAL TIME CONTROL;

CORE PROCESSORS; EXTERNAL MEMORIES; GREY SCALES; MEMORY CONSUMPTIONS; PARALLELIZATION; POINT ARITHMETICS; PROCESSING SCHEMES; SYSTEM COSTS;

TRAFFIC SIGNS;

EID: 57749182443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVS.2008.4621207     Document Type: Conference Paper

References (6)

1. th Int. Conf. on Computer Vision Systems, Bielefeld, Germany 2007
2. A system for traffic sign detection, tracking, and recognition using color, shape, and motion information, Bahlmann, C.; Zhu, Y.; Visvanathan Ramesh; Pellkofer, M.; Koehler, T., IEEE Intelligent Vehicles Symposium 2005, 6-8 June 2005 Page(s): 255-260
3. Application Development of Camera-based Driver Assistance Systems on a Programmable Multi-Processor Architecture, A. Techmer, IEEE Intelligent Vehicles Symposium, 2007, 13-15 June 2007, Page(s):1211-1216
4. Real Time Road Signs Recognition, A. Broggi, P. Cerri, P. Medici, P. Porta, G. Ghisio, IEEE Intelligent Vehicles Symposium, 2007, 13-15 June 2007 Page(s):981-986
5. Fast and Robust Classification using, Asymmetric AdaBoost and a Detector Cascade, P. Viola and M. Jones, Advances in Neural, Information Processing System 14, MIT Press, 2002.
6. Real-time Detection of Traffic Signs on a Multi-Core Processor, R. Ach, N. Luth, A. Techmer, accepted for IEEE Intelligent Vehicles Symposium 2008