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Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Created
2022-08-08
1,033 commits to main branch, last one about a month ago
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
Created
2015-12-07
38 commits to master branch, last one 3 years ago
Create 3D labelled bounding boxes in RViz
Created
2020-03-29
86 commits to master branch, last one 3 years ago
LiDAR Guide
lidar
awesome
lidar-data
lidar-slam
awesome-list
deep-learning
lidar-odometry
image-processing
machine-learning
augmented-reality
awesome-resources
lidar-point-cloud
lidar-measurements
deep-neural-networks
lidar-object-tracking
lidar-camera-calibration
deep-reinforcement-learning
augmented-reality-applications
Created
2021-06-14
10 commits to main branch, last one 11 months ago
Using the KITTI dataset, we employed Open3D to visualize, downsample, segment with RANSAC, cluster via DBSCAN, create 3D bounding boxes, and perform surface reconstruction on point clouds.
Created
2023-06-22
94 commits to main branch, last one about a year ago