Raytheon Company

Brian A Cronin

Nicholas J Ploplys

Samuel S Blackman

Nicholas Sun

Ray B Huffaker

Michael Boardman

The technology described herein includes a system and/or a method for global hypothesis tracking. In some examples, a method generates one or more paired segments based on track data representing kinematic data of target objects. Each paired segment includes a list of tracks incompatible with the paired segment, which are tracks sharing common track data, and a likelihood score. The method generates a transition probability between each pair of the paired segments based on the list of tracks incompatible with the paired segment and the likelihood score associated with each paired segment. The method further generates one or more multi-segment tracks based on the one or more paired segments also based on the transition probability between each pair of the paired segments.

Locally invariant global hypothesis tracking

A method for measuring sensor bias and a method for estimating sensor bias is provided. Road location data is obtained. Sensor observation data is obtained. A sensor observation is identified that corresponds to an on-road target moving on a known road. A measurement of one-dimensional sensor bias is formed. As one-dimensional sensor bias measurements accumulate, multi-dimensional sensor bias is estimated. Sensor bias estimates may then be incorporated into a multiple hypothesis tracker system.

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Hermosa Beach, CA, United States of America

Brian A Cronin