Airplane Recognition and Location On the Airport Based On Computer Vision
JianFeng Mu, Yanyang Wang · 2016
In order to improve safety for airliner ground movement at the airport, a positioning method which can identify airliner and find the location of the airliner when the airliner taxiing at the airport based on computer vision is presented.Deep learning method is applied to recognize an airliner from complicated background of an image.After that, image segmentation based on graph is used to acquire the outline of the airliner.Then, after obtaining the nose undercarriage tyre, the location of airliner is obtained by means of coordinate transformation.The simulation results illustrate the validity of the proposed method.