3 datasets found

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

The Udacity dataset has images recorded while driving on highways and residential roads (with and without lane markings) in clear weather during daytime.

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...