Multi-Target Track-to-Track Fusion Based on Permutation Matrix Track Association
Intelligent Vehicles Symposium, pp. 465-470, 2018.
This paper proposes the Permutation Matrix Track Association (PMTA) algorithm to support track-to-track, multi-sensor data fusion for multiple targets in an autonomous driving system. In this system, measurement data from different sensor modalities (LIDAR, radar, and vision) is processed by object trackers operating on each sensor modali...More
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