LTGPv2: Rethinking local track geometry for Track-to-Track Association
2021 5th CAA International Conference on Vehicular Control and Intelligence (CVCI)(2021)
摘要
Track-to-track association (T2TA) is an essential part in situational awareness of advanced driving assistant systems. The accuracy of track-to-track association methods may degrade by missed detections and measurement bias. Although the local track geometry preservation algorithm has been proposed to improve the performance of T2TA, it may be affected as the target detection decreases. In this st...
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关键词
Geometry,Degradation,Maximum likelihood estimation,Target tracking,Laplace equations,Simulation,Object detection
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