Air Traffic Network Generation for UAVs at a Low Altitude Based on Digital Maps
Xin He, Quan Quan · 2020
Unmanned Aerial Vehicle (UAV) has a rapid growth in recent years. An efficient air traffic system for UAVs working at a low altitude which is rich of obstacles is desired. However, as far as we know, the work on the generation of such an air traffic network at a low altitude lacks attention. It is expected to develop an algorithm in order to generate a traffic network automatically similar to the complex road traffic network by taking a matrix or image marked with obstacles as input. Considering those situations above, this paper addresses (i) automatic air traffic network generation that is suitable for UAVs working at a low altitude, (ii) several line segments (airlines) fitting for a curve, and (iii) a graph modeling. A simple experiment is also performed to show the effectiveness of the method proposed.