Multisensor probabilistic multihypothesis tracking using dissimilar sensors

Mark L. Krieg; Douglas A. Gray

doi:10.1117/12.277181

23 June 1997 Multisensor probabilistic multihypothesis tracking using dissimilar sensors

Mark L. Krieg, Douglas A. Gray

Proceedings Volume 3086, Acquisition, Tracking, and Pointing XI; (1997) https://doi.org/10.1117/12.277181
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

A difficult problem in multisensor and multi-tracking is that of data association. A multitarget tracking algorithm, probabilistic multi-hypothesis tracking (PMHT), overcomes this problem by estimating the measurement-to-target assignments and the target states simultaneously. We have previously developed two multi-sensor variations of this algorithm, the multi-sensor PMHT and the general multi- sensor PMHT. In this paper, we apply the multi-sensor PMHT algorithm to non-simultaneous radar and optical real data, recorded from a testbed consisting of a radar and optical sensor. Its performance in a multi-target environment is compared to that of a multi-sensor variable update rate Kalman filter.

Citation Download Citation

Mark L. Krieg and Douglas A. Gray "Multisensor probabilistic multihypothesis tracking using dissimilar sensors", Proc. SPIE 3086, Acquisition, Tracking, and Pointing XI, (23 June 1997); https://doi.org/10.1117/12.277181

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