DocumentCode :
2419467
Title :
Improving endurance of autonomous aerial vehicles through intelligent service-station placement
Author :
Godzdanker, Roy ; Rutherford, Matthew J. ; Valavanis, Kimon P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Denver, Denver, CO, USA
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
3179
Lastpage :
3184
Abstract :
A limitation of small-scale, autonomous, vertical take-off and landing (VTOL) vehicles is their relatively short flight time. This hinders their broad applicability for many commercial applications. In previous work, we present the design and implementation of ISLANDS, an autonomous self-leveling landing platform for VTOL vehicles, along with an initial approach to their placement in the field of work. In this paper, we present several new approaches for improved station placement in a field of work of arbitrary shape and size, given sensor characteristics and the nature of the application. We present these algorithms in the context of a generic survey application, but they generalize to many other applications such as search and rescue, traffic monitoring, and environment monitoring.
Keywords :
aircraft landing guidance; autonomous aerial vehicles; helicopters; intelligent robots; ISLANDS; VTOL vehicle; autonomous aerial vehicle; autonomous self-leveling landing platform; flight time; intelligent service station placement; landing vehicle; vertical take-off vehicle; Equations; Geometry; Helicopters; Mathematical model; Robot sensing systems; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6225263
Filename :
6225263
Link To Document :
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