Title :
Azimuth estimation of distant, approaching airplane in See-and-avoid Systems
Author :
Zsedrovits, Tamas ; Zarandy, Akos ; Vanek, Balint ; Peni, Tamas ; Bokor, Jozsef ; Roska, Tamas
Author_Institution :
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
Abstract :
Visual detection based sense and avoid problem is more and more important nowadays as UAVs are getting closer to entering remotely piloted or autonomously into the airspace. It is critical to gain as much information as possible from the silhouettes of the distant aircrafts. In our paper, we investigate the reachable accuracy of the orientation information of remote planes under different geometrical condition, by identifying their wing lines from their detected wingtips. Under the assumption that the remote airplane is on a straight course, the error of the spatial discretization (pixelization), and the automatic detection error is calculated.
Keywords :
autonomous aerial vehicles; collision avoidance; computational geometry; object detection; robot vision; UAV; automatic detection error; azimuth estimation; detected wingtips; distant aircrafts; distant approaching airplane; geometrical condition; orientation information; remote pilot; remote planes; see-and-avoid systems; spatial discretization error; unmanned aerial vehicle; visual detection; wing lines; Aircraft; Atmospheric modeling; Azimuth; Cameras; Estimation; Humans; Image segmentation; See and Avoid; UAV; long range visual detection;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331431