Drone Searches for Objects on the Ground: An Entropy-Based Approach

The secondary search for small objects on the ground by a group of unmanned aerial vehicles (UAVs) is considered. The drone path is planned by optimizing the throughput, an entropy-based characteristic estimated as the volume of useful information acquired per unit time. The proposed approach increases the search efficiency in comparison with planning based on the maximum a priori probability that objects are present.