Stars
A library for efficient similarity search and clustering of dense vectors.
GoogleTest - Google Testing and Mocking Framework
Open3D: A Modern Library for 3D Data Processing
COLMAP - Structure-from-Motion and Multi-View Stereo
F´ - A flight software and embedded systems framework
mlpack: a fast, header-only C++ machine learning library
high-performance rendering backend (C++, Python, C#, Java)
open Multi-View Stereo reconstruction library
Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
OctNet: Learning Deep 3D Representations at High Resolutions
D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.
TensorRT deployment for CenterPoint Lidar Detection Model.
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
Offical code release for DynoSAM: Dynamic Object Smoothing And Mapping. Accepted Transactions on Robotics (Visual SLAM SI). A visual SLAM framework and pipeline for Dynamic environements, estimatin…
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
[ICRA 2024] Outram: One-shot Global Localization via Triangulated Scene Graph and Global Outlier Pruning
A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning
Lidar Odometry and Mapping (J.Zhang et.al). EECS/NAVARCH 568 (Mobile Robotics) Final Project
ROS2 3D object detection and tracking using pointclouds
A basic SLAM system that employs 2D and 3D LIDAR measurements
LOAM algorithm to use with the KITTI Dataset