Self-driving car datasets with highly detailed maps
Two public datasets supported by highly detailed maps to test, experiment, and teach self-driving vehicles how to understand the world around them. One dataset with 3D tracking annotations for 113 scenes One dataset with 327,793 interesting vehicle trajectories extracted from over 1000 driving hours Two high-definition (HD) maps with lane centerlines, traffic direction, ground height, and more One API to connect the map data with sensor information