Enhanced data association of fusion using weighted Bayesian filtering
First Claim
1. A method of associating targets from at least two object detection systems, the method being executed by a processor, comprising the steps of:
- generating an initial prior correspondence matrix based on prior target data from a first object detection system and a second object detection system;
identifying targets in a first field-of-view of the first object detection system based on a current time step;
identifying targets in a second field-of-view of the second object detection system based on the current time step;
adjusting the prior correspondence matrix based on respective targets entering and leaving the respective fields-of-view;
generating a posterior correspondence matrix as a function of the adjusted prior correspondence matrix; and
identifying a correspondence in the posterior correspondence matrix between a respective target of the first object detection system and a respective target of the second object detection system.
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Abstract
A method of associating targets from at least two object detection systems. An initial prior correspondence matrix is generated based on prior target data from a first object detection system and a second object detection system. Targets are identified in a first field-of-view of the first object detection system based on a current time step. Targets are identified in a second field-of-view of the second object detection system based on the current time step. The prior correspondence matrix is adjusted based on respective targets entering and leaving the respective fields-of-view. A posterior correspondence matrix is generated as a function of the adjusted prior correspondence matrix. A correspondence is identified in the posterior correspondence matrix between a respective target of the first object detection system and a respective target of the second object detection system.
9 Citations
20 Claims
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1. A method of associating targets from at least two object detection systems, the method being executed by a processor, comprising the steps of:
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generating an initial prior correspondence matrix based on prior target data from a first object detection system and a second object detection system; identifying targets in a first field-of-view of the first object detection system based on a current time step; identifying targets in a second field-of-view of the second object detection system based on the current time step; adjusting the prior correspondence matrix based on respective targets entering and leaving the respective fields-of-view; generating a posterior correspondence matrix as a function of the adjusted prior correspondence matrix; and identifying a correspondence in the posterior correspondence matrix between a respective target of the first object detection system and a respective target of the second object detection system. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification