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In order to reduce accident at traffic intersections during day and night, the algorithm of traffic lights detection which is applied in a vehicle driver assistance system is designed by using the image processing technology. The system of traffic light detection includes three parts: a CCD camera, an image acquisition card, and a PC. Based on RGB color space, the algorithm extracts red, green, and...
Availability of detailed, high accuracy digital maps is crucial for many driver assistance applications. In this paper, a novel approach for automated map generation from aerial images is presented. Automatically generated maps present an alternative for applications that are not critical for vehicle safety such as accurate map based localization for route guidance. Aerial images as a source for automated...
Pedestrian protection is an important issue for intelligent vehicles. This paper proposes a new approach for predicting the possibility of a collision between a vehicle and a pedestrian. Almost all pedestrian behavior toward vehicles observed in the real world is considered safe. Therefore, pedestrian behavior that deviates from usual pedestrian behavior indicates a possibility where the vehicle must...
EACWS (Embedded Advance Collision Warning System) is an important part of ITS (Intelligence Transportation System). It is mainly based on monocular vision algorithms, and high-speed DSP processor, real-time to complete front vehicle distance detection, and send out early warning signals to ensure driving safety.
In the near future automatic systems able to detect the traffic situation and to understand driver behavior and intent will probably become vehicle tools important for improving driver safety. Therefore, robust video processing techniques able to cope with difficult environmental road condition such as luminosity changes, dynamic and cluttered background, etc. are necessary for these applications...
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