170 datasets found

The KITTI-360 dataset is an extension of the KITTI dataset, containing 10 new sequences recorded in 2013, with a focus on 360-degree views.

The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh.

The FLIR ADAS 1 3 dataset contains 10,228 real infrared photos collected in streets and highways of Santa Barbara, USA.

Infrared physical adversarial examples are of great significance for studying the security of infrared AI systems that are widely used in our lives such as autonomous driving....

The CARLA simulator dataset is used for vehicle trajectory control. It contains a test track at ZF Friedrichshafen AG, where the start position is indicated by an arrow and the...

Argoverse 1 Motion Forecasting is a dataset that allows us to train a model on a vast collection of 323, 557 scenarios of 5 seconds each. Each scenario is a 2D bird-eye-view of...

The dataset used in the paper is a simulated on-ramp merge scenario, with 3 vehicles involved. The dataset is used to train a Deep Reinforcement Learning model to learn an...

The dataset used in the paper is a set of topological relations between the ego vehicle and surrounding vehicles in the simulation environment.

The dataset used in the paper is a set of state variables for the ego vehicle and surrounding vehicles in the simulation environment.

Lidar panoptic segmentation for autonomous driving

The rounD dataset contains trajectories from various locations in Germany captured at a frequency of 25 Hz.

A drone dataset of naturalistic vehicle trajectories on German highways for validation of highly automated driving systems.

The Qcraft dataset is a dataset for autonomous driving tasks.

The dataset used in the paper is a collection of reward functions for autonomous driving, which are designed to evaluate the performance of reinforcement learning agents.

The proposed uncertainty-aware model-based reinforcement learning framework is applied to end-to-end autonomous driving tasks.

A new performance measure and evaluation benchmark for road detection algorithms.

The WOMD dataset is a large-scale interactive motion forecasting dataset for autonomous driving, which includes 2 million agents and 6 motion trajectories for 8 seconds in the...

The DIPLECS dataset contains indoor and outdoor driving scenarios, and the Comma.ai dataset contains highway driving scenarios.

A new dataset for omnipotent city understanding from satellite and street-level images of multiple views.

A light-weight semantic map for visual localization in autonomous driving tasks.