François Rhéaume

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In target-tracking applications, there may be situations where measurements from a given target arrive out of sequence at the processing center. This problem is commonly referred to as Out-of-Sequence Measurements (OOSMs). So far, most of the existing solutions to this problem are based on retrodiction, where backward prediction of the current state is used(More)
Reaction time of current and future naval warships is eroded since they are expected to operate in a large variety of situations with constantly increasing complexity. To cope with diverse air and surface threats, the warships, either operating in a single ship configuration or within a task group, will require their combat power resources to be efficiently(More)
Several classifiers for forward looking infra-red imagery are designed and implemented, and their relative performance is benchmarked on 2545 images belonging to 8 different ship classes, from which 11 attributes are extracted. These are a Bayes classifier, a Dempster–Shafer classifier ensemble in which specialized classifiers are optimized to return a(More)
In military command & control applications, the information quality requirements are very context-dependent and seldom predefined. This leaves much room for adaptation. In this paper, the duration of the search & lock-on operations of the fire control radar is estimated and used as an adaptation trigger. The proposed estimation process aims at(More)
The paper addresses the problem of target-tracking in tactical military surveillance operations. More specifically, a closed-loop approach to adapt the sensing and tracking operations is proposed and compared to the conventional open-loop and static approach. The objective is to control and maintain, over a certain volume of interest and by way of(More)
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