Paper Info
Title
Fast and Robust UAV to UAV Detection and Tracking From Video
Abstract
Unmanned Aerial Vehicle (UAV) technology is being increasingly used in a wide variety of applications ranging from remote sensing, to delivery and security. As the number of UAVs increases, there is a growing need for UAV to UAV detection and tracking systems for both collision avoidance and coordination. Among possible solutions, autonomous “see-and-avoid” systems based on low-cost high-resolution video cameras offer important advantages in terms of light weight and low power consumption. However, in order to be effective, camera based “see-and-avoid” systems require sensitive, robust, and computationally efficient algorithms for autonomous detection and tracking of UAVs from a moving camera. In this article, we propose a general architecture for a highly accurate and computationally efficient UAV to UAV detection and tracking (U2U-D&T) algorithm from a camera mounted on a moving UAV platform. The system is based on a computationally efficient pipeline consisting of a moving target detector, followed by a target tracker. The algorithm is validated using video data collected from multiple fixed-wing UAVs that is manually ground-truthed and is publicly available. Results indicate that the proposed algorithm can be implemented on commodity hardware and robustly achieves highly accurate detection and tracking of even distant and faint UAVs. Open source code for the U2U-D&T algorithm is available at: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><uri>https://github.com/jingliinpurdue/Fast-and-Robust-UAV-to-UAV-Detection-and-Tracking.git</uri>.</i>
Year
DOI
Venue
2022
10.1109/TETC.2021.3104555
IEEE Transactions on Emerging Topics in Computing
Keywords
DocType
Volume
UAV tracking,sense-and-avoid,temporal detection,collision avoidance
Journal
10
Issue
ISSN
Citations 
3
2168-6750
0
PageRank 
References 
Authors
0.34
22
5
Name
Order
Citations
PageRank
Jing Li1293.49
Dong Hye Ye245024.29
Mathias Kölsch355534.94
Juan P. Wachs400.34
Charles A. Bouman52740473.62