Aiming at the problem of class determination conflict in vehicle recognition technology, a multi-sensor fusion target recognition method based on compatibility coefficient is proposed. Firstly, multi-hypothesis thinking is used to realize multi-sensor heterogeneous data clustering and merging to obtain single-frame fusion detection results; then, the compatibility coefficient between evidences is calculated to redistribute evidence conflicts, and the single-frame processing is combined with Dezert-Smarandache theory ( DSmT) conflicts of evidence that may arise after fusion, and obtain accurate identification results of the target category. The results of actual measurement data show that this method can overcome the problem of limited sensor detection range and conflict of category determination, and the target recognition accuracy rate can reach more than 93%, which reduces the missed detection rate and false detection rate of target recognition, and can achieve good target recognition accurate performance.