With the increasing complexity of target-tracking scenarios,single-sensor detection systems cannot satisfy the practical requirements of target tracking.Multi-sensor data fusion technology has thus become an important solution for target tracking in complex scenarios.This paper reviewed the basic principles and research status of two key processes in multi-sensor data fusion:data association and estimating fusion.The relevant research on applying artificial intelligence technologies such as neural networks and reinforcement learning in multi-sensor data fusion was introduced.Finally,the development of multi-sensordata fusion methods in the field of target tracking was prospected.
维普
万方数据
