Paper
16 April 2008 Surveillance by multiple cooperative UAVs in adversarial environments
X. Tian, Y. Bar-Shalom, K. R. Pattipati, A. Sinha
Author Affiliations +
Abstract
In this paper a real-time cooperative path decision algorithm for UAV surveillance is proposed. The surveillance mission includes multiple objectives: i) Navigate the UAVs safely in a hostile environment; ii) Search for new targets in the surveillance region; iii) Classify the detected targets; iv) Maintain tracks on the detected targets. To handle these competing objectives, a layered decision framework is proposed, in which different objectives are relevant at different decision layers according to their priorities. Compared to previous work, in which multiple objectives are integrated into a single global objective function, this layered decision framework allows detailed specification of the desired performance for each objective and guarantees that an objective with high priority will be first satisfied by eliminating possible compromises from other less important ones. In addition, path decision strategies that are suited to individual objectives can be used at different decision layers. The layered decision framework, along with a multi-step look-ahead path decision strategy based on a Roll-out policy is shown to be able to guide the UAV group effectively for the multi-objective surveillance in a hostile environment.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
X. Tian, Y. Bar-Shalom, K. R. Pattipati, and A. Sinha "Surveillance by multiple cooperative UAVs in adversarial environments", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69691E (16 April 2008); https://doi.org/10.1117/12.775567
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Unmanned aerial vehicles

Target detection

Surveillance

Detection and tracking algorithms

Picosecond phenomena

Radar

Data processing

Back to Top