DocumentCode
2557093
Title
Persistent surveillance with a team of MAVs
Author
Michael, Nathan ; Stump, Ethan ; Mohta, Kartik
Author_Institution
GRASP Laboratory, University of Pennsylvania, Philadelphia, USA
fYear
2011
fDate
25-30 Sept. 2011
Firstpage
2708
Lastpage
2714
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location
San Francisco, CA
ISSN
2153-0858
Print_ISBN
978-1-61284-454-1
Type
conf
DOI
10.1109/IROS.2011.6095174
Filename
6095174
Link To Document