2021
DOI: 10.48550/arxiv.2103.06028
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Model-free Vehicle Tracking and State Estimation in Point Cloud Sequences

Abstract: Estimating the states of surrounding traffic participants stays at the core of autonomous driving. In this paper, we study a novel setting of this problem: model-free singleobject tracking (SOT), which takes the object state in the first frame as input, and jointly solves state estimation and tracking in subsequent frames. The main purpose for this new setting is to break the strong limitation of the popular "detection and tracking" scheme in multi-object tracking. Moreover, we notice that shape completion by … Show more

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