8 datasets found

Predicting the future trajectories of pedestrians on the road is an important task for autonomous driving. The pedestrian trajectory prediction is affected by scene paths,...

The ETH/UCY pedestrian datasets contain trajectories of pedestrians in various scenarios.

The UCY dataset contains the following scenarios: ETH, HOTEL, UNIV, ZARA1 and ZARA2.

The ETH, HOTEL, UNIV, ZARA1 and ZARA2 datasets contain the following scenarios: ETH, HOTEL, UNIV, ZARA1 and ZARA2.

Pedestrian trajectory prediction is an important technique of autonomous driving, which has become a research hot-spot in recent years. In order to accurately predict the...

Pedestrian trajectory prediction is an important component in a range of applications such as social robots and self-driving vehicles, and plays a key role in understanding...

Pedestrian trajectory forecasting is a fundamental task in multiple utility areas, such as self-driving, autonomous robots, and surveillance systems. The future trajectory...

The dataset used in the paper is a collection of human trajectory data, which is used to train and evaluate the proposed Social Pattern Extraction Convolution (PEC) model for...