Chunling Liu
ABSTRACT
In order to realize the logistics Logistics distribution problem of logistics drones, the A* algorithm is applied to real-time track planing. It can effectively realize track planing in unknown environments. However, the existing A* algorithm has some disadvantages. The A* algorithm needs to know the information of the prior map in advance, and has the problem of poor real-time performance. In view of the above shortcomings, this paper introduces the idea of jumping search, and proposes a track planing algorithm for logistics drones in unknown environments (EPA) based on the A* algorithm. Theoretical analysis and simulation show that the new algorithm is better than the existing typical A* algorithm. The real-time performance of the algorithm has been improved.
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Index Terms
- Online track planning of logistics drones in unknown environments
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