99 datasets found

Object detection dataset used for training and testing the proposed alert system.

The dataset used in the paper is a driving simulator dataset, where the robot and human interact in a driving scenario. The dataset is used to evaluate the performance of the...

A survey of simulators for small-scale autonomous cars

A survey of small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage

A dataset of on-road naturalistic driving data collected on the 4th Ring Road in Beijing, containing samples of lane changes to the left and right lanes, and car followings.

A dataset for autonomous driving.

A driving scenario QA task and a dataset of 160k QA pairs derived from 10k driving scenarios, paired with high quality control commands collected with RL agent and question...

The dataset used in this paper is a real-world driving dataset, which is used to evaluate the performance of the proposed traffic scene generation framework.

The BDD100K MOTS dataset is a subset of the BDD100K dataset, containing 154 videos with annotation for training and validation, and 37 videos for testing.

The dataset used in the paper is a set of demonstrations for an autonomous driving task, where the robot needs to maneuver through slower traffic.

The dataset used in this paper for autonomous driving lane change decision-making task.

Boreas: A multi-season autonomous driving dataset.

The SynWoodScape dataset consists of 10,000 annotated images captured from four different view angles: Front View (FV), Mirror-View Right (MVR), Mirror-View Left (MVL), and Rear...

The novel dataset for open space segmentation in automotive parking scenarios, containing raw radar echos and their corresponding annotations.

The Oxford Radar RobotCar dataset is a radar extension to the Oxford RobotCar dataset, containing radar observations of a vehicle in various scenarios.

The dataset used in this paper for street view synthesis, consisting of large-scale background scenes and foreground moving vehicles.

The dataset used in the paper for automated driving, including scenarios with occluded intersections and merging.

The dataset used in the paper is a collection of images and corresponding affordances (pedestrian hazard, vehicle hazard, red traffic light, and relative heading angle) for...

The Argoverse motion forecasting dataset is used to evaluate the proposed method. It contains more than 30K scenarios collected in Pittsburgh and Miami.

The Occ3D-nuScenes dataset is a benchmark for 3D semantic occupancy prediction in autonomous driving, containing 150 validation scenes with 18 semantic classes.