Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2010-10-19
17th ITS world congress (ITSwc'2010), Busan : Korea, Republic Of (2010)
Computer Science
Computer Vision and Pattern Recognition
Scientific paper
We present here a first prototype of a "Speed Limit Support" Advance Driving Assistance System (ADAS) producing permanent reliable information on the current speed limit applicable to the vehicle. Such a module can be used either for information of the driver, or could even serve for automatic setting of the maximum speed of a smart Adaptive Cruise Control (ACC). Our system is based on a joint interpretation of cartographic information (for static reference information) with on-board vision, used for traffic sign detection and recognition (including supplementary sub-signs) and visual road lines localization (for detection of lane changes). The visual traffic sign detection part is quite robust (90% global correct detection and recognition for main speed signs, and 80% for exit-lane sub-signs detection). Our approach for joint interpretation with cartography is original, and logic-based rather than probability-based, which allows correct behaviour even in cases, which do happen, when both vision and cartography may provide the same erroneous information.
Bargeton Alexandre
Moutarde Fabien
Nashashibi Fawzi
Puthon Anne-Sophie
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