Automatic Generation of Ground Risk Map by Image Features and Consideration of Air Risk

Abstract

This study aims to construct maps of ground and airborne risks for unmanned aircraft traffic management from aerial photo orthographic maps. Essentially, the ground risk is the possibility that an unmanned 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, and airborne risk was expressed as the frequency of passing through a randomly planned route, resulting in the creation of ground and airborne risk maps. The Vision Transformer (ViT) was used to identify the ground 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 were visualized, and the aerial risk was identified when operating many unmanned aircraft with low ground risk.