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KITTI-CVL and FordAV-CVL datasets
Two cross-view localization datasets, KITTI-CVL and FordAV-CVL, are constructed by collecting spatial-consistent satellite counterparts from Google Map according to the provided... -
Vehicle Control: Collision Avoidance using Federated Deep Reinforcement Learning
The dataset used in this paper for vehicle control for collision avoidance using Federated Deep Reinforcement Learning (FDRL) techniques. -
Diverse dataset for image deterioration attacks
The dataset used in this paper is a diverse dataset created with real and synthetic images demonstrating that by exploiting spatio-temporal information combined with... -
Automated Driving Dataset
The dataset used in the paper for automated driving, including scenarios with occluded intersections and merging. -
CARLA dataset
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... -
A2D2 dataset
The A2D2 dataset is a driving dataset containing front-facing camera images and their corresponding steering angles. -
Waymo dataset
The Waymo dataset is a LiDAR-based semantic segmentation dataset, which consists of 798 sequences for training and 202 for validation. -
SullyChen dataset
The SullyChen dataset is a driving dataset containing front-facing camera images and their corresponding steering angles. -
Honda, Waymo, A2D2, and SullyChen datasets
The Honda, Waymo, A2D2, and SullyChen datasets are used for developing machine learning models for driving-related tasks. -
Udacity Dataset
The Udacity dataset has images recorded while driving on highways and residential roads (with and without lane markings) in clear weather during daytime. -
KITTI Odometry Benchmark
The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and... -
Racing-Based References Dataset
The dataset used in this paper is a set of racing-based references provided by an external planner. -
Vehicle Dynamics Dataset
The dataset used in this paper is a set of vehicle states and inputs that represents a set of particular driving maneuvers guaranteeing rich enough data. -
AirSim car simulator dataset
The dataset used in this paper is a human demonstration dataset for autonomous vehicles, consisting of images from a center camera. -
Waymo Open Motion Dataset (WOMD)
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... -
Trajnet++ Benchmark
The Trajnet++ benchmark provides a fixed data split and unified pre-processing for these datasets. -
Trajectory Prediction
Trajectory prediction is a crucial task for the safe operation of an autonomous vehicle. The task is known as human trajectory prediction and aims to predict the future...
