GitHub topics: lidar-object-detection
uulm-mrm/mmood3d
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
Language: Python - Size: 337 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 13 - Forks: 0
xtreme1-io/xtreme1
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Language: TypeScript - Size: 49.8 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1,033 - Forks: 170
matlab-deep-learning/Lidar-object-detection-using-complex-yolov4
Object detection and transfer learning on point clouds using pretrained Complex-YOLOv4 models in MATLAB
Language: MATLAB - Size: 8.89 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 10
matlab-deep-learning/pretrained-salsanext
Semantic segmentation and transfer learning using pretrained SalsaNext model in MATLAB
Language: MATLAB - Size: 17.8 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 5
Earthwings/annotate
Create 3D labelled bounding boxes in RViz
Language: C++ - Size: 4.6 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 138 - Forks: 22
jdj2261/velodyne-object-clustering
This package is that allows you to view the data of velodyne vlp-16 sensor using pcl library in ubuntu 18.04 environment. In addition, you can check the object clustering algorithm and results.
Language: C++ - Size: 4.8 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 2
