Range based Algorithms for Precise Localization of Terrestrial Objects using a Drone
In this paper we propose two algorithms, called DIR and OMNI, for precisely localizing terrestrial objects, or more simply sensors, using a drone. DIR is based on the observation that, by using directional antennas, it is possible to precisely localize terrestrial sensors just applying a single trilateration. We extend this approach to the case of a regular omnidirectional antenna and formulate the OMNI algorithm. Both DIR and OMNI plan a static path for the drone over the deployment area, which includes a set of waypoints where distance measurements between the drone and the sensors are taken. Differently from previously proposed best-effort approaches, our algorithms prove that a guaranteed precision can be achieved by considering a set of waypoints, for each sensor, that are at a distance above a certain threshold and that surround the sensor with a certain layout. We perform extensive simulations to validate the performance of our algorithms. Results show that both approaches provide a comparable localization precision, but DIR exhibits a shorter path compared to OMNI, being able to exploit the directional antennas.
F. Betti Sorbelli et al., "Range based Algorithms for Precise Localization of Terrestrial Objects using a Drone," Pervasive and Mobile Computing, vol. 48, pp. 20 - 42, Elsevier, Aug 2018.
The definitive version is available at https://doi.org/10.1016/j.pmcj.2018.05.007
Intelligent Systems Center
Second Research Center/Lab
Center for High Performance Computing Research
Keywords and Phrases
Directive antennas; Drones; Ultra-wideband (UWB); Best effort; Directional Antenna; Extensive simulations; Localization precision; Range-based; Static paths; Terrestrial localization; Trilateration; Omnidirectional antennas; IR-UWB
International Standard Serial Number (ISSN)
Article - Journal
© 2018 Elsevier, All rights reserved.
01 Aug 2018