11 datasets found

NGSIM is a collection of video-transcribed datasets of vehicle trajectories on US-101, Lankershim Blvd. in Los Angeles, I-80 Emeryville. It contains approximately 45 minutes of...

The Nordland Railway dataset is a large-scale driving dataset that includes a 728km train journey from Trondheim to Bodø in Nordland, Norway, recorded four times, once per season.

The A2D2 dataset is a driving dataset containing front-facing camera images and their corresponding steering angles.

The Waymo dataset is a LiDAR-based semantic segmentation dataset, which consists of 798 sequences for training and 202 for validation.

The SullyChen dataset is a driving dataset containing front-facing camera images and their corresponding steering angles.

The Honda, Waymo, A2D2, and SullyChen datasets are used for developing machine learning models for driving-related tasks.

The dataset used in the paper is a virtual reality driving dataset with gaze coordinates, driving speed, and course information.

The dataset used in the paper is a driving dataset with gaze coordinates, driving speed, and course information.

Understanding the decision-making process of drivers is one of the keys to ensuring road safety. We propose a new dataset, GEM, which contains high-fidelity ego-motion videos...

A driving dataset for heterogeneous multitask learning.

The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.