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COLLISION AVOIDANCE TECHNOLOGY OF INTELLIGENT VEHICLE SYSTEM BASED ON MULTI-SENSOR FUSION

In order to reduce the occurrence of traffic accidents, aiming at the shortcomings of using single sensor for target recognition in smart vehicle collision avoidance in the past, such as low perception range and high recognition error, the collision avoidance technology of smart vehicle system based on multi-sensor fusion is deeply studied. Arduino is the main control unit of smart vehicle collision avoidance system, Linux is the development platform, and HC-SR04 ultrasonic ranging module is used. 2 cm to 400 cm non-contact distance sensing is realized, and the detection distance is adjusted by the potentiometer knob in the infrared sensor module; after building the intelligent vehicle motion model, collision avoidance is realized by using the combination mode of ultrasonic single-point obstacle avoidance and infrared double-way crossobstacle avoidance. In the process of collision avoidance, Mahalanobis distance is introduced to match the observed value of vehicle target sequence, and then the joint probability data association algorithm is applied to fuse. The data of ultrasonic sensor and infrared sensor are used to realize automatic collision avoidance of intelligent vehicle based on multi-sensor fusion. The results show that the collision avoidance technology is not affected by the shape of obstacles and has high collision avoidance rate. It can respond to braking instructions with high efficiency and precision, enhance the collision avoidance performance of intelligent vehicles, and has high accuracy of data fusion. It can effectively realize multi-aspect detection and omni-directional automatic collision avoidance of intelligent vehicles.