-
LiDAR Point Cloud Dataset
The dataset used in the paper is a LiDAR point cloud dataset, which is a sparse 3D point cloud acquired by LiDAR sensors. -
WiLi - vehicular wireless channel dataset
A dataset of vehicular wireless channel measurements, including LiDAR and Radar data. -
Augmented LiDAR Simulator for Autonomous Driving
A LiDAR simulator for autonomous driving that generates annotated point cloud data. -
Perception-aware multi-sensor fusion for 3D LiDAR semantic segmentation
A method for LiDAR 3D point-cloud semantic segmentation exploiting perceptual information from RGB images and spatial-depth information from point clouds. -
LiDAR Dataset for End-to-End Navigation
A real-world dataset for LiDAR-based end-to-end navigation, consisting of 32km of driving data with 29km for training and 3km for testing. -
Non-learning Stereo-aided Depth Completion under Mis-projection via Selective...
The proposed method applies selective stereo matching (SSM) followed by binary anisotropic diffusion tensor (B-ADT) aided smoothing. -
Learning compact representations for LiDAR completion and generation
Learning compact representations for LiDAR completion and generation. -
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... -
SynthCity Dataset
The SynthCity dataset is used to generate synthetic LiDAR point cloud data. -
GTA-V Dataset
The GTA-V dataset is used to generate synthetic LiDAR point cloud data. -
Synthetic LiDAR point cloud dataset
The dataset used in the paper is a synthetic LiDAR point cloud dataset generated using the CARLA simulator. -
RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection
A LiDAR-based 3D object detection dataset. -
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
A LiDAR-based 3D object detection dataset. -
KITTI depth completion dataset
The dataset used in the paper is the KITTI depth completion dataset, which supplies collection of sparse LiDAR scans and corresponding semi-dense depth maps as ground truth. -
KITTI dataset
The dataset used in the paper is the KITTI dataset, which is a benchmark for monocular depth estimation. The dataset consists of a large collection of images and corresponding...
