89 datasets found

The dataset used in the paper is a collection of autonomous vehicle scenarios, where each scenario is represented as a 3x3 grid encoding. The scenarios are encoded using Pauli-X...

The dataset is used for lane detection in highway and city scenes.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the SHIFT and Berkeley DeepDrive Attention (BDD-A) datasets.

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

A large-scale dataset for autonomous driving and monocular 3D object detection

Oxford RobotCar dataset contains a large amount of data collected from one route through central Oxford, and covers various weather and traffic conditions.

The comma2k19 dataset is used to evaluate the robustness of lane detection models under physical-world adversarial attacks in autonomous driving.

The TuSimple Lane Detection Challenge dataset is used to evaluate the robustness of lane detection models under physical-world adversarial attacks in autonomous driving.

Scalability in perception for autonomous driving: Waymo open dataset.

IDD dataset for Indian Road Scenarios contains 10K frames from 180 videos.

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.