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The Top 23 Cloud Computing Lidar Open Source Projects

Open source projects categorized as Cloud Computing Lidar
Categories > Cloud Computing > Cloud Computing
Categories > Hardware > Lidar
Lego Loam ⭐ 2,002
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
most recent commit 10 months ago
Depth_clustering ⭐ 778
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
most recent commit 2 years ago
Awesome Lidar ⭐ 696
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
most recent commit 4 months ago
Superpoint_graph ⭐ 691
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
most recent commit 9 months ago
Lidar_for_ad_references ⭐ 610
A list of references on lidar point cloud processing for autonomous driving
most recent commit 2 years ago
Awesome Point Cloud Processing ⭐ 542
A curated list of awesome Point Cloud Processing Resources, Libraries, Software
most recent commit 2 years ago
Multiple Object Tracking Lidar ⭐ 375
C++ implementation to Detect, track and classify multiple objects using LIDAR scans or point cloud
most recent commit 3 years ago
Pointcloud ⭐ 364
A PostgreSQL extension for storing point cloud (LIDAR) data.
most recent commit 7 months ago
Pptk ⭐ 282
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
most recent commit 4 years ago
Pclpy ⭐ 206
Python bindings for the Point Cloud Library (PCL)
total releases 24most recent commit 3 years ago
Simpleicp ⭐ 199
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
total releases 18most recent commit 7 months ago
Lol ⭐ 188
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
most recent commit 3 years ago
Ilcc ⭐ 183
Intensity-based_Lidar_Camera_Calibration
most recent commit 5 years ago
3d Mininet ⭐ 156
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
most recent commit a year ago
Deep Learning For Lidar Point Clouds ⭐ 134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
most recent commit 3 years ago
Point Cloud Prediction ⭐ 134
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks
most recent commit 4 months ago
Unitypointcloudviewer ⭐ 116
Point Cloud Viewer and Tools for Unity
most recent commit 4 months ago
Rs_to_velodyne ⭐ 108
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
most recent commit a year ago
Real Time Spatio Temporal Lidar Point Cloud Compression ⭐ 90
This is a compression technique that targets for LiDAR-generated point cloud
most recent commit a year ago
Treeseg ⭐ 80
Extract individual trees from lidar point clouds
most recent commit 3 years ago
Lidar Gta V ⭐ 78
A plugin for Grand Theft Auto V that generates a labeled LiDAR point cloud from the game environment.
most recent commit 3 years ago
Acsc ⭐ 76
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
most recent commit 3 years ago
Lidar Segementation ⭐ 66
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
most recent commit 2 years ago
The 5 Latest Releases In Cloud Computing Lidar Open Source Projects
Rtls ⭐ 11
rTLS: Tools to Process Point Clouds Derived from Terrestrial Laser Scanning
total releases 3latest release November 29, 2021most recent commit 2 years ago
Cl2nc ⭐ 8
Convert Vaisala CL51 and CL31 ceilometer dat files to NetCDF
total releases 14latest release August 27, 2020most recent commit 7 months ago
Pyfor ⭐ 53
Tools for analyzing aerial point clouds of forest data.
total releases 1latest release December 01, 2019most recent commit 4 years ago
Pclpy ⭐ 206
Python bindings for the Point Cloud Library (PCL)
total releases 24latest release August 24, 2018most recent commit 3 years ago
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