Multiple UAVs Tracking for Moving Ground Target

To track the ground objects through a single aerial vehicle doesn't give better results especially when the speed of the object is very fast. To solve this issue, this research article presents Improved Grey Golf Optimizer (IGWO) approach to track the ground moving objects through multiple Unmanned Aerial Vehicles (UAVs). In this manuscript, target tracking is modeled by expressing the target model, sensor coverage region, restricted region, and space constraints. In IGWO algorithm, only the globally best position is considered for the tracking which provides better results as well as faster response. The algorithm also reproduces the wolf pack's destructive strategy and social hierarchy to find the optimal solution for the system. To validate the effectiveness of the proposed system various scenarios with different ground vehicle motion has been tested. Three UAVs simultaneously track the ground object, its direction, and motion along the followed path. In future work, the adaptive approach can be used to identify obstacle detection for UAVs and ground objects.