Argoverse: 3D Tracking and Forecasting With Rich Maps

CVPR 2019 Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Slawomir Bak Andrew Hartnett De Wang Peter Carr Simon Lucey Deva Ramanan James Hays

We present Argoverse, a dataset designed to support autonomous vehicle perception tasks including 3D tracking and motion forecasting. Argoverse includes sensor data collected by a fleet of autonomous vehicles in Pittsburgh and Miami as well as 3D tracking annotations, 300k extracted interesting vehicle trajectories, and rich semantic maps... (read more)

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