3D LiDAR Point Cloud & Spatial Cuboid Data
Calibrated 3D point cloud datasets with bounding cuboid annotations, point density classification, and camera-LiDAR sensor fusion alignment.
Hardware & Sensor Specifications
LIDAR SENSOR
Hesai / Velodyne 64-Beam LiDAR
POINT RATE
1.32M Points/Sec
CAMERA RGB-D
Intel RealSense D435i
CALIBRATION RIG
Sub-millimeter Target Matrix
Target Tasks & Execution Scenarios
- • Autonomous Vehicle Perception
- • Warehouse AMR Obstacle Mapping
- • Industrial Plant Spatial Scanning
- • Drone 3D Infrastructure Inspection
Individual Types in 3D LiDAR Point Cloud & Spatial Cuboid Data (3)
Click any specific Type card below to open its dedicated page with complete 12-section technical details:
[SPECIFIC TYPE]
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3D Bounding Cuboid Annotations
Volumetric 3D bounding box extent, centroid coordinate, and orientation yaw angle labeling.
[SPECIFIC TYPE]
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Point Cloud Semantic Segmentation
Point-wise spatial category classification across terrain, obstacles, vegetation, and structures.
[SPECIFIC TYPE]
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Camera-LiDAR Sensor Fusion Alignments
Time-aligned RGB-D images and 3D point cloud coordinate frame projections.
Quality Standards (Right vs Wrong)
| COMMON COMPETITOR ERRORS (WRONG) | BLUE PROJECTS GROUND TRUTH (RIGHT) |
|---|---|
| FAIL: Loose cuboids ignoring ground plane | PASS: Ground-truth tight-fit 3D cuboids |
| FAIL: 2D bounding box lacking 3D depth | PASS: 3D point cloud volumetric extent annotation |