Survey on Application of Multi-sensor Fusion in UAV Detection Technology

The target detection and recognition technology based on multi-sensor fusion of radar, visible light, infrared, acoustics, radio detection has become the development trend of unmanned aerial vehicle (UAV) detection system. Deep learning network has a strong representation learning ability, and is good at extracting various complex features from multi-source heterogeneous data. On the basis of comparing the detection ability and performance of various sensors, this paper reviews the application results and existing problems of the feature extraction algorithms headed by deep learning for multi-sensor data, and discusses the multi-source information fusion technology and the construction scheme of multi-sensor system. Finally, a scheme of UAV detection system based on four kinds of sensors is recommended and a conclusion is drawn.