Argoverse

홈페이지 · 논문 386편

Argoverse is a tracking benchmark with over 30K scenarios collected in Pittsburgh and Miami. Each scenario is a sequence of frames sampled at 10 HZ. Each sequence has an interesting object called “agent”, and the task is to predict the future locations of agents in a 3 seconds future horizon. The sequences are split into training, validation and test sets, which have 205,942, 39,472 and 78,143 sequences respectively. These splits have no geographical overlap. Source: Learning Lane Graph Representations for Motion Forecasting Image Source: https://arxiv.org/pdf/1911.02620.pdf

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