A Novel Algorithm for Distant Aircraft Detection

Zarándy, Ákos and Zsedrovits, Tamás and Jani Mátyásné Pencz, Borbála and Németh, Máté and Vanek, Bálint (2015) A Novel Algorithm for Distant Aircraft Detection. In: International Conference on Unmanned Aircraft Systems (ICUAS’15). IEEE, Denver, pp. 774-783. ISBN 978-1-4799-6009-5 10.1109/ICUAS.2015.7152361

[img] Text
Restricted to Registered users only

Download (635kB)


In this paper a novel algorithm for distant aircraft detection for visual sense-and-avoid for UAV is presented. The algorithm uses local edge density to partition the frame into two types of regions. The first type is the unstructured or homogeneous part like sky region and the second part where there is a structured background, like high contrast clouds or terrain regions. The airplanes are detected on the two types of regions with different strategies. The algorithm was planned to run in an embedded environment with low power consumption, thus it can be run onboard of a small or mid- size UAV. First steps towards the GPU implementation on the nVidia Jeston TK1 development board are done and also presented in the paper.

Item Type: Book Section
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Cellular Sensory and Optical Wave Computing Laboratory
Systems and Control Lab
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 11 Jan 2016 17:36
Last Modified: 11 Jan 2016 17:36
URI: https://eprints.sztaki.hu/id/eprint/8444

Update Item Update Item