Paper
27 October 2010 Multitarget, multisensor localization and tracking using passive antennas and optical sensors on UAVs
Marek Schikora, Daniel Bender, Wolfgang Koch, Daniel Cremers
Author Affiliations +
Abstract
In this work we focus on the task to localize and track multiple non-cooperative targets by a passive antenna array and an optical sensor. Both sensor systems are mounted on a UAV and obtain bearing measurements from the targets, where the number of targets is unknown. To solve the localization and tracking problem, the imprecise but unique bearing data collected from the antenna array has to be correlated with the precise but ambiguous bearing data gained from the optical system. We perform this by a Monte Carlo realization of a multi-sensor probability hypothesis density (PHD) filter.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marek Schikora, Daniel Bender, Wolfgang Koch, and Daniel Cremers "Multitarget, multisensor localization and tracking using passive antennas and optical sensors on UAVs", Proc. SPIE 7833, Unmanned/Unattended Sensors and Sensor Networks VII, 783305 (27 October 2010); https://doi.org/10.1117/12.868225
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Cited by 5 scholarly publications.
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KEYWORDS
Antennas

Sensors

Unmanned aerial vehicles

Particles

Monte Carlo methods

Optical tracking

Optical sensors

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