Path Planning for Unmanned Aerial Vehicles in Hilly Orchards Based on Deep Reinforcement Learning
When drones operate in hilly terrain, multiple factors such as flight energy consumption, operation time, mechanical wear and flight safety restrict each other. Traditional path planning methods find it difficult to effectively balance these goals. This paper models the path planning of unmanned aerial vehicles (UAVs)...