8 datasets found

The Shifts Vehicle Motion Prediction dataset consists of scenes spanning six locations, three seasons, three times of day, and four weather conditions.

The dataset used in the paper is the Lyft Motion Prediction Dataset, which contains samples of real-world driving on a complex, urban route in Palo Alto, California.

The dataset is used for online human motion prediction and synthesis for human-robot collaboration.

A motion and accident prediction benchmark for v2x autonomous driving

MotionDiffuser is a learned representation for the joint distribution of future trajectories over multiple agents using diffusion models.

The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...

The Waymo Open Motion Dataset is a large-scale dataset for autonomous driving, containing 104,000 20-second frames of driving scenarios marked at 10 Hz.