Title :
HAWK: An Unmanned Mini-Helicopter-Based Aerial Wireless Kit for Localization
Author :
Zhongli Liu ; Yinjie Chen ; Benyuan Liu ; Chengyu Cao ; Xinwen Fu
Author_Institution :
Dept. of Comput. Sci., Univ. of Massachusetts Lowell, Lowell, MA, USA
Abstract :
This paper presents a fully functional and highly portable mini Unmanned Aerial Vehicle (UAV) system, HAWK, for conducting aerial localization. HAWK is a programmable mini helicopter Draganflyer X6 armed with a wireless sniffer Nokia N900. We developed custom PI-Control laws to implement a robust waypoint algorithm for the mini helicopter to fly a planned route. A Moore space filling curve is designed as a flight route for HAWK to survey a specific area. A set of theorems were derived to calculate the minimum Moore curve level for sensing all targets in the area with minimum flight distance. With such a flight strategy, we can confine the location of a target of interest to a small hot area. We can recursively apply the Moore curve-based flight route to the hot area for a fine-grained localization of a target of interest. We have conducted extensive experiments to validate the feasibility of HAWK and our theory. A demo of HAWK in autonomous fly is available at http://www.youtube.com/watch?v=ju86xnHbEq0.
Keywords :
autonomous aerial vehicles; radio direction-finding; HAWK; Moore curve-based flight route; Moore space filling curve; aerial localization; custom PI-control laws; fine-grained localization; flight strategy; miniUAV system; minimum Moore curve level; minimum flight distance; miniunmanned aerial vehicle system; programmable minihelicopter Draganflyer X6; robust waypoint algorithm; unmanned minihelicopter-based aerial wireless kit; wireless sniffer Nokia N900; Helicopters; Mobile computing; Roads; Software; Surveillance; Wireless communication; Wireless sensor networks; Localization; UAV; smartphone;
Journal_Title :
Mobile Computing, IEEE Transactions on
DOI :
10.1109/TMC.2012.238