Aiming at the problems of low efficiency and poor economy of geographic fence for UAV operation, a route planning method for logistics UAV operation in urban low-altitude airspace based on rasterization method was proposed. Shenzhen city was selected as the geo-fence verification test area, in which the route planning of UAVs on a single route and two routes was studied using the A* algorithm, and the UAV no-fly zone was set in the airspace. The dynamic geographic fence proposed on the determined route occupies three airspace grids, which can improve the airspace utilization rate by 7.25%. And this method can accommodate up to 5 UAVs operation simultaneously on a single route. In the case of two routes operating simultaneously, the method based on rasterization method allows intersection of routes on the two-dimensional plane, further improving the utilization of airspace. The method proposed in this article can be used for algorithmic control and airspace optimization of largescale unmanned aerial vehicles operation, and has strong application prospects.
Logistics UAV operation route planning in urban low-altitude airspace based on rasterization method
01.01.2023
847371 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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