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MaiCity dataset
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. -
KITTI odometry datasets
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. -
PC-NeRF: Parent-Child Neural Radiance Fields
Reconstructing large-scale 3D scenes is essential for autonomous vehicles, especially when partial sensor data is lost. -
Autonomous Driving Dataset
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. -
Autonomous Driving Lane Change Decision-making
The dataset used in this paper for autonomous driving lane change decision-making task. -
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challeng...
For autonomous vehicles (AVs), visual perception techniques based on sensors like cameras play crucial roles in information acquisition and processing. In various computer... -
SynWoodScape
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... -
LidarDM: Generative LiDAR Simulation in a Generated World
LidarDM: A novel layout-conditioned latent diffusion model for generating realistic LiDAR point clouds. -
Open Space Segmentation using Automotive Radar
The novel dataset for open space segmentation in automotive parking scenarios, containing raw radar echos and their corresponding annotations. -
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. -
nuScenes and Waymo datasets
The dataset used in this paper for street view synthesis, consisting of large-scale background scenes and foreground moving vehicles. -
Monocular 3D Object Detection for Autonomous Driving
The KITTI 3D Object Detection dataset is used for training and testing the proposed Shift R-CNN model. -
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... -
CARLA Pedestrian Crossing Scenario
Synthetic data from simulations of a specific pedestrian crossing scenario to train a variational autoencoder and a long short-term memory network to predict a pedestrian's... -
WaymoOpenDataset
Scalability in perception for autonomous driving: Waymo open dataset. -
Argoverse 2
The Argoverse 2 motion forecasting dataset contains 250,000 driving scenarios, each 11 seconds long. These scenarios cover 6 geographical regions and represent 763 total hours...
