Area Coverage with Unmanned Vehicles: A Belief-Based Approach

In this paper, we propose a belief-based movement approach for a network of unmanned vehicles, which is deployed to cover a given area. The spatial and temporal coverage performance of the belief-based approach is compared with legacy movement models such as random walk, random direction as well as a random sweeping model for several scenarios. Our results highlight the trade-off between how fast and how well an area can be covered and show that the proposed approach can outperform the other methods that are tested.