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SHIFT and BDD-A datasets
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. -
Robotcar Dataset
The dataset used for training and evaluation of the proposed framework for unsupervised metric relocalization. -
Oxford RobotCar
Oxford RobotCar dataset contains a large amount of data collected from one route through central Oxford, and covers various weather and traffic conditions. -
Scalability in perception for autonomous driving: Waymo open dataset
Scalability in perception for autonomous driving: Waymo open dataset. -
PANOPTIC-DEPTH COLOR MAP FOR COMBINATION OF DEPTH AND IMAGE SEGMENTATION
Image segmentation and depth estimation are crucial tasks in computer vision, especially in autonomous driving scenarios. -
KITTI 3D Dataset
The KITTI 3D dataset consists of 7,481 images for training and 7,518 images for testing. The labels of the train set are publicly available and the labels of the test set are... -
Argoverse Dataset
The Argoverse dataset is a large dataset of real-world outdoor driving scenes. -
KITTI Benchmark Dataset
The KITTI benchmark dataset is used to evaluate the performance of the proposed method. The dataset contains large-scale outdoor sequences of images captured by a forward-facing... -
LidarDM: Generative LiDAR Simulation in a Generated World
LidarDM: A novel layout-conditioned latent diffusion model for generating realistic LiDAR point clouds. -
Oxford Radar RobotCar dataset
The Oxford Radar RobotCar dataset is a radar extension to the Oxford RobotCar dataset, containing radar observations of a vehicle in various scenarios. -
Street View Synthesis with Gaussian Splatting and Diffusion Prior
Novel View Synthesis (NVS) for street scenes in autonomous driving scenarios. -
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... -
WaymoOpenDataset
Scalability in perception for autonomous driving: Waymo open dataset. -
KITTI-360 dataset
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. -
Argoverse: 3D tracking and forecasting with rich maps
The Argoverse dataset includes 65 training and 24 validation sequences recorded in Miami and Pittsburgh. -
Lidar panoptic segmentation for autonomous driving
Lidar panoptic segmentation for autonomous driving -
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... -
Waymo Open Dataset and nuScenes Dataset
The Waymo Open Dataset and the nuScenes Dataset are used to evaluate the performance of the AFDetV2 model.
