UPDATING INTENSITIES IN A PHD FILTER BASED ON A SENSOR TRACK ID
In one embodiment, a method of tracking multiple objects with a probabilistic hypothesis density filter is provided. The method includes obtaining measurements corresponding to a first object with at least one sensor, the at least one sensor providing one or more first track IDs for the measurements...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
03.02.2016
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Subjects | |
Online Access | Get full text |
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Summary: | In one embodiment, a method of tracking multiple objects with a probabilistic hypothesis density filter is provided. The method includes obtaining measurements corresponding to a first object with at least one sensor, the at least one sensor providing one or more first track IDs for the measurements. A T k+1 first predicted intensity is generated for the first object based on a T k first track intensity. A T k+1 measurement from a first sensor of the at least one sensors is obtained, the first sensor providing a second track ID for the T k+1 measurement. The second track ID is compared to the one or more first track IDs, and the T k+1 first predicted intensity is selectively updated with the T k+1 measurement based on whether the second track ID matches any of the one or more first track IDs to generate a T k+1 first measurement-to-track intensity for the first object. |
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Bibliography: | Application Number: EP20150177590 |