Analysis of Application of Multi-Sensor Data Fusion in Deceleration Early Warning System

Radar sensors have poor anti-jamming ability, and infrared sensors are sensitive to weather changes and random noise. To avoid the shortcomings of a single sensor, millimeter-wave radar sensors and pyrochemical infrared sensors are used to fuse data to solve the problem of accurate tracking and positioning of vehicles or pedestrian targets in deceleration early warning system. At the same time, Extended Kalman Filter (EKF) and interval 2 fuzzy reasoning are used in the fusion process to solve the nonlinear and uncertain problems of the actual system, so as to improve the system performance.