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While driving a car, collision detection plays an important role in autonomous driving and for the driver. This project presents an integrative approach to speed and direction detection which aims to be as simple as possible to enable the real- time computation while being able to adapt to a variety of highway and urban scenarios on different conditions. In this work, we implement a signal-based forward collision warning system and an overtaking vehicle detection system. The forward collision warning system aims to detect other vehicles driving ahead of the host vehicle while overtaking so as to avoid the potential traffic accidents. On the other hand, the overtaking vehicle detection system is to detect other vehicles behind or on the side of the host vehicle so as to give an alert to the driver when the vehicle begins overtaking. Experimental results are presented with real scene. The performance evaluation has demonstrated the effectiveness of the proposed techniques.