Lyft Level 5 Prediction
Introduced by Houston et al. in One Thousand and One Hours: Self-driving Motion Prediction Dataset
A self-driving dataset for motion prediction, containing over 1,000 hours of data. This was collected by a fleet of 20 autonomous vehicles along a fixed route in Palo Alto, California, over a four-month period. It consists of 170,000 scenes, where each scene is 25 seconds long and captures the perception output of the self-driving system, which encodes the precise positions and motions of nearby vehicles, cyclists, and pedestrians over time.
Source: One Thousand and One Hours: Self-driving Motion Prediction DatasetPapers
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