Bidirectional multi-lane vehicle counting approach based on trajectory features using MIMO radar

Abstract

Due to the excellent performance of radar sensors in terrible environments, the potential application of radar in intelligent transportation has become a research hotspot. This paper proposes an approach to estimate the number of vehicles in bidirectional and multi-lane using MIMO radar. The radar is installed at the top of the overpass to track the vehicles. The core idea of the proposed approach is using the vehicles' trajectories to realize vehicle counting and adjusting the overtaking and lane changing situations. In the proposed approach, we first propose a method to avoid missing target detection. To improve the accuracy of vehicle tracking, we exploit the doppler information in the trajectory association. Finally, in order to eliminate the false alarm, we use the continuity and length features of trajectory in the vehicle counting process. Experiment results show that the proposed approach can achieve an average vehicle counting more than 95%.