8 datasets found

The V2V-Sim dataset is a simulation dataset for vehicle-to-vehicle communication in self-driving cars.

A novel large-scale dataset for spatio-temporal tagging of self-driving scenes, containing 15 attributes relating to vehicle and pedestrian density, the actions of each actor,...

The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...

A dataset for learning to simulate realistic multi-agent behaviors.

A self-driving car dataset that captures real-world urban driving in the center of Las Vegas.

A dataset for detecting small road hazards for self-driving cars.

HawkEye is a system that can generate high resolution perceptually interpretable 2D depth-maps from 3D mmWave heat-maps for self-driving cars.

The Argoverse dataset is a large-scale dataset for autonomous driving, containing 3D point clouds, semantic segmentation masks, and instance segmentation masks.