The Study of Intelligent Vehicle Anti-collision Forewarning Technology by Multi-Information Detection

The driving environment of vehicles is very complicated, as the multi-source information of the road, the relative distance between other vehicles or obstacles and the state of driver's etc. The statues messages of lane, relative distance and relative speed between the surrounding targets, can be identified by receiving information from the CCD camera in front of the car, the driver attention state information can be identified by receiving information from the CCD camera inside. That could effectively reduce the leak detection alarm rate, the false alarm rate and alarm rate of redundancy by using the technology of multi-source information detection. The real-time detection of dangerous and potentially dangerous driving information is used to analysis and judged the driver state and acquire a reliable anti-collision warning drew by constructing the safety mechanism based on Dempster-Shafer evidence theory. This can prevent collision and death actively, and optimize the control of distance speed and reaction time, at the same time. Meanwhile, it establishes a good foundation for enhancing using speed, increasing ability and realizing automatic transmission.