Research on collaborative perception technology of two-domain unmanned platform cluster

In response to the development needs of future unmanned platform cluster collaborative operation mode, with the goal of improving the collaborative operation capability of two-domain unmanned platforms, an analysis of collaborative perception technology for two-domain unmanned operation platform clusters has been carried out. This article proposes a dynamic target tracking algorithm based on BACF algorithm, which combines weighted fusion of multiple features and model adaptive updating. Assign weights based on the contribution of multiple features and perform weighted fusion. Use the fused features to detect the tracked target. By introducing a one-dimensional scale filter, achieve adaptive changes in target scale; This algorithm can solve the problems of interference such as water mist, high noise, occlusion, and lighting in two-domain work environments, as well as the problem of insufficient robustness and real-time requirements in the tracking process. It can effectively improve the cluster operation ability of two-domain unmanned platforms.