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Proceedings Paper

Multisensor data fusion for IED threat detection
Author(s): Wim Mees; Roel Heremans
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Paper Abstract

In this paper we present the multi-sensor registration and fusion algorithms that were developed for a force protection research project in order to detect threats against military patrol vehicles. The fusion is performed at object level, using a hierarchical evidence aggregation approach. It first uses expert domain knowledge about the features used to characterize the detected threats, that is implemented in the form of a fuzzy expert system. The next level consists in fusing intra-sensor and inter-sensor information. Here an ordered weighted averaging operator is used. The object level fusion between candidate threats that are detected asynchronously on a moving vehicle by sensors with different imaging geometries, requires an accurate sensor to world coordinate transformation. This image registration will also be discussed in this paper.

Paper Details

Date Published: 30 October 2012
PDF: 15 pages
Proc. SPIE 8546, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII, 85460T (30 October 2012); doi: 10.1117/12.974830
Show Author Affiliations
Wim Mees, Royal Belgian Military Academy (Belgium)
Roel Heremans, Royal Belgian Military Academy (Belgium)
AGT Group (R&D) (Germany)

Published in SPIE Proceedings Vol. 8546:
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII
Colin Lewis; Douglas Burgess, Editor(s)

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