mmWave Radar Sensors Fusion for Indoor Object Detection and Tracking

Indoor object detection and tracking using millimeter-wave (mmWave) radar sensors have received much attention recently due to the emergence of applications energy assignment, privacy, health, safety. Increasing valid field view system accuracy through multi-sensors is critical achieving an efficient system. This paper uses two mmWave for accurate tracking: noise reduction stages reduce distinguish cluster groups. The presented data fusion method effectively estimates transformation alignment synchronizes result that can allow us visualize objects’ information acquired by one on another one. An density-based clustering algorithm provide high presented. Unscented Kalman Filter with association tracks multiple objects simultaneously in terms timing. Furthermore, indoor developed based our proposed method. Finally, validated comparing it previous a commercial experimental results demonstrate method’s advantage positive significance handling effect occlusions at higher numbers weak detecting each more accurately.