Design and Implementation of Vehicle Chassis Detection System Based on Multi-Sensor Fusion Technology

摘要

Vehicle chassis detection is becoming more important in not only customs frontier inspection, but also public security and driving safety. In order to meet the increasing demand for higher recognition accuracy, faster recognition speed, and better reliability, in this paper, we proposes a new vehicles chassis detection system based on multi-source sensor technology. It can obtain not only visual image data, but also more abundant information such as the material of vehicle chassis and whether there are living objects. After testing in November 2018, the hardware and software of the system are stable, the system can be operated remotely, and the detection speed is fast. After the training, the actual detection and classification accuracy is more than 95%, compared with the unfused algorithm, the accuracy is greatly improved. The multi-sensors fusion algorithm has achieved good results and achieved the desired goal.