Uncrewed Aerial System Detection and Tracking with Event Cameras
<div class="section abstract"><div class="htmlview paragraph">The emergence of SUAS as a threat vector introduces significant challenges in surveillance and defense due to their potential for low cross section and high speeds, defeating or evading many existing detection and tracking capabilities. This paper presents two algorithms—one for detection and one for tracking—developed for event cameras, which offer substantial improvements in temporal resolution, dynamic range, and low-light performance compared to traditional imaging systems, all of which are critical for effective UAS defense. These advancements address current limitations in using event cameras and pave the way for a new generation of robust robotic vision based on event cameras.</div></div>
Authors
- Anthony S. David (ORCID: https://orcid.org/0000-0003-0967-774X)
- David R. Chambers
- J Towler
Institutions
- Southwest Research Institute (US)
Publication Details
- Journal
- SAE technical papers on CD-ROM/SAE technical paper series
- Published
- 2025-09-16
- DOI
- https://doi.org/10.4271/2025-01-0440
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00