This paper introduces a cooperative path planning strategy for ground and aerial vehicles operating in uncertain environments. The system uses unmanned aerial vehicles (UAVs) to dynamically inspect road networks and identify impassable routes, enabling a ground vehicle (UGV) to navigate safely and efficiently. The research evaluates different cooperative approaches, including the use of multiple UAVs, and demonstrates that a bidirectional strategy combined with multiple UAVs offers the best performance for reducing UGV travel time, albeit with increased computational demands. AI
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IMPACT Proposes a novel approach for autonomous navigation in uncertain environments, potentially improving disaster response and logistics.
RANK_REASON This is a research paper detailing a new path planning strategy for autonomous vehicles.