A collection of annotation tools for LiDAR Point Cloud. There are 3D Object Detection directions, and Semantic Segmentation.
Name | Information | Github Stars | Conference | License | Review | Good Point | Bad Point | |
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3D-BAT | 3D Bounding Box Annotation Tool Point cloud and Image Labeling | IEEE Intelligent Vehicles Symposium (IV), 2019 | educational, research and non-profit purposes | - | - | - | ||
LATTE | Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking | (ITSC). IEEE, 2019 | Apache-2.0 License | - | - | - | ||
PointAtMe | An annotation tool to annotate 3D data in 3D | IEEE Intelligent Vehicles Symposium (IV), 2019 | GPL-3.0 License | - | - | - | ||
SUSTechPOINTS | 3D Point Cloud Annotation Platform for Autonomous Driving | IEEE Intelligent Vehicles Symposium (IV), 2020 | GPL-3.0 License | - | - | - | - | |
cloud_annotation_tool | Main for person detection not adas. L-CAS 3D Point Cloud Annotation Tool | Autonomous Robots,2020 | GPL-3.0 License | - | - | - | ||
[FLAVA] | No codeT_T Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds | - | UIST 2020 | - | - | - | ||
Sane | Smart annotation and evaluation tool for point cloud data | IEEE Access,2020 | Apache-2.0 License | - | - | - | ||
labelCloud | A lightweight tool for labeling 3D bounding boxes in point clouds | CAD2021 | GPL-3.0 License | - | - | - |