Multisensor data fusion for IED threat detection

Wim Mees; Roel Heremans

doi:10.1117/12.974830

30 October 2012 Multisensor data fusion for IED threat detection

Wim Mees, Roel Heremans

Proceedings Volume 8546, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII; 85460T (2012) https://doi.org/10.1117/12.974830
Event: SPIE Security + Defence, 2012, Edinburgh, United Kingdom

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.

Citation Download Citation

Wim Mees and Roel Heremans "Multisensor data fusion for IED threat detection", Proc. SPIE 8546, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII, 85460T (30 October 2012); https://doi.org/10.1117/12.974830

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