Web: http://arxiv.org/abs/2209.09723

Sept. 21, 2022, 1:13 a.m. | Mingkun Wang, Xinge Zhu, Changqian Yu, Wei Li, Yuexin Ma, Ruochun Jin, Xiaoguang Ren, Dongchun Ren, Mingxu Wang, Wenjing Yang

cs.CV updates on arXiv.org arxiv.org

Predicting the future motion of road participants is crucial for autonomous
driving but is extremely challenging due to staggering motion uncertainty.
Recently, most motion forecasting methods resort to the goal-based strategy,
i.e., predicting endpoints of motion trajectories as conditions to regress the
entire trajectories, so that the search space of solution can be reduced.
However, accurate goal coordinates are hard to predict and evaluate. In
addition, the point representation of the destination limits the utilization of
a rich road context, …

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