A Framework for Autonomous and Continuous Aerial Intelligence, Surveillance, and Reconnaissance Operations
Author USMA Department
Electrical Engineering and Computer Science
USMA Center/Institute Affiliation
Robotics Research Center
Unmanned aerial vehicles, Surveillance, Sensors, Human-machine interfaces, Reconnaissance, Robots, Cameras, Intelligence systems, Navigation systems, Video surveillance
We propose a framework for intelligence, reconnaissance, and surveillance using an aerial vehicle with multiple sensor payloads to provide autonomous and continuous security operations at a fixed location. A control scheme and a graphical user interface between the vehicle and operator is strictly mandated for tasks requiring remote and unattended inspection. By leveraging existing navigation and path planning algorithms, the system can autonomously patrol large areas, automatically recharge when required, and relay on-demand data back to the user. This paper presents recent validation results of the system and its sensors using the proposed framework.
Korpela, C., Root, P., Kim, J., Wilkerson, S., & Gadsden, S. A. (2016). A framework for autonomous and continuous aerial intelligence, surveillance, and reconnaissance operations. In Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications XIII (Vol. 9828, p. 982803). International Society for Optics and Photonics. https://doi.org/10.1117/12.2223350
This work was supported in part by the Defense Advanced Research Projects Agency (DARPA).
SPIE Defense + Security