This study aims to construct maps of ground and airborne risks for unmanned aircraft trafficmanagement from aerial photo orthographic maps. Essentially, the ground risk is the possibility that anunmanned aircraft may harm people, and airborne risk is the possibility of collisions between aircraft.From this, ground risk was classified into levels based on the identification of objects on the ground, andairborne risk was expressed as the frequency of passing through a randomly planned route, resulting inthe creation of ground and airborne risk maps. The Vision Transformer (ViT) was used to identify theground risk map. The A* algorithm was also used for random route planning for aerial risk. As a result,the locations where traffic is likely to be particularly concentrated, and their ground conditions werevisualized, and the aerial risk was identified when operating many unmanned aircraft with low groundrisk.
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