Share Email Print
cover

Proceedings Paper

Lidar-based detection and tracking of small UAVs
Author(s): Marcus Hammer; Marcus Hebel; Martin Laurenzis; Michael Arens
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The number of reported incidents caused by small UAVs, intentional as well as accidental, is rising. To avoid such incidents in future, it is essential to be able to detect UAVs. LiDAR sensors (e.g., laser scanners) are well known to be adequate sensors for object detection and tracking.

In this paper, we expand our existing LiDAR-based approach for the tracking and detection of (low) flying small objects like commercial mini/micro UAVs. We show that UAVs can be detected by the proposed methods, as long as the movements of the UAVs correspond to the LiDAR sensor’s capabilities in scanning performance, range and resolution. The trajectory of the tracked object can further be analyzed to support the classification, meaning that UAVs and non- UAV objects can be distinguished by an identification of typical movement patterns. A stable tracking of the UAV is achieved by a precise prediction of its movement. In addition to this precise prediction of the target’s position, the object detection, tracking and classification have to be achieved in real-time.

For the algorithm development and a performance analysis, we analyzed LiDAR data that we acquired during a field trial. Several different mini/micro UAVs were observed by a system of four 360° LiDAR sensors mounted to a car. Using this specific sensor system, the results show that UAVs can be detected and tracked by the proposed methods, allowing a protection of the car against UAV threats within a radius of up to 35 m.

Paper Details

Date Published: 4 October 2018
PDF: 9 pages
Proc. SPIE 10799, Emerging Imaging and Sensing Technologies for Security and Defence III; and Unmanned Sensors, Systems, and Countermeasures, 107990S (4 October 2018); doi: 10.1117/12.2325702
Show Author Affiliations
Marcus Hammer, Fraunhofer Institute of Optics, System Technologies, and Image Exploitation (Germany)
Marcus Hebel, Fraunhofer Institute of Optics, System Technologies, and Image Exploitation (Germany)
Martin Laurenzis, Institut Franco-Allemand de Recherches de Saint-Louis (France)
Michael Arens, Fraunhofer Institute of Optics, System Technologies, and Image Exploitation (Germany)


Published in SPIE Proceedings Vol. 10799:
Emerging Imaging and Sensing Technologies for Security and Defence III; and Unmanned Sensors, Systems, and Countermeasures
Gerald S. Buller; Markus Mueller; Richard C. Hollins; Robert A. Lamb, Editor(s)

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