Share Email Print

Proceedings Paper

Real-time counter-UAV system for long distance small drones using double pan-tilt scan laser radar
Author(s): Byeong Hak Kim; Danish Khan; Wonju Choi; Min Young Kim
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The ground based electro-optical tracking system (EOTS) and electro-optics and infrared (EO/IR) are the most popular small UAV (C-sUAV) detection systems. The EO/IR systems are able to detect sUAVs at a long distance about several kilometers under clean environment. However, its performance is degraded in various noises like fixed patterns, dead/bad pixels and complex background conditions such as saturated images or foggy environments. In this study, we propose an efficient methodology using high power laser radar for real time CsUAV systems. The goal of our system is to find a 0.5 meter sUAV at 2 kilo meter distance in real time. For that challenging goal, we use a laser radar with dual pan-tilt scanning systems and also apply the variable-radially bounded nearest neighbor (V-RBNN) methodology as a fast clustering method. The experimental results show that the proposed method is able to detect 0.5 meter sUAV and its calculation time is under 20 millisecond per frames in complex background and long range conditions.

Paper Details

Date Published: 2 May 2019
PDF: 7 pages
Proc. SPIE 11005, Laser Radar Technology and Applications XXIV, 110050C (2 May 2019); doi: 10.1117/12.2520110
Show Author Affiliations
Byeong Hak Kim, Kyungpook National Univ. (Korea, Republic of)
Hanwha Systems Co., Ltd. (Korea, Republic of)
Danish Khan, Kyungpook National Univ. (Korea, Republic of)
Wonju Choi, Hanwha Systems Co., Ltd. (Korea, Republic of)
Min Young Kim, Kyungpook National Univ. (Korea, Republic of)

Published in SPIE Proceedings Vol. 11005:
Laser Radar Technology and Applications XXIV
Monte D. Turner; Gary W. Kamerman, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?