Web: http://arxiv.org/abs/2208.00394

Sept. 16, 2022, 1:15 a.m. | Haochen Liu, Zhiyu Huang, Chen Lv

cs.CV updates on arXiv.org arxiv.org

Forecasting the future states of surrounding traffic participants is a
crucial capability for autonomous vehicles. The recently proposed occupancy
flow field prediction introduces a scalable and effective representation to
jointly predict surrounding agents' future motions in a scene. However, the
challenging part is to model the underlying social interactions among traffic
agents and the relations between occupancy and flow. Therefore, this paper
proposes a novel Multi-modal Hierarchical Transformer network that fuses the
vectorized (agent motion) and visual (scene flow, map, …

arxiv autonomous autonomous driving driving flow hierarchical prediction transformer

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