Nicolas A. Tsokas

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The problem of tracking walking people with a team of moving robots is tackled in this paper. We extend the Multiple Hypothesis Tracking method so as to handle measurements coming from multiple sensors and to allow for one-to-many associations between targets and measurements. Derivation of hypotheses probabilities accounts for the overlapping fields of(More)
This paper tackles the problem of tracking walking people with multiple moving robots equipped with laser rangefinders. We present an adaptation to the classic Multiple Hypothesis Tracking method, which allows for one-to-many associations between targets and measurements in each cycle and is thus capable of operating in a multi-sensor scenario. In the(More)
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