Title :
Persistent surveillance with a team of MAVs
Author :
Michael, Nathan ; Stump, Ethan ; Mohta, Kartik
Author_Institution :
GRASP Laboratory, University of Pennsylvania, Philadelphia, USA
Abstract :
In this paper, we focus on the detailing of a system architecture capable of addressing the problem of persistent surveillance with a team of autonomous micro-aerial vehicles (MAVs). We detail the problem of interest, discuss system requirements, and provide an overview of our approach. The remainder of the paper is dedicated to the system design and evaluation on a team of quadrotors in simulation and experiments.
Keywords :
Collision avoidance; Global Positioning System; Robot sensing systems; Surveillance; Trajectory; Vehicles;
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-61284-454-1
DOI :
10.1109/IROS.2011.6095174