Hyungtae Lim

patchwork. SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

ERASOR. Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

latex-paper-writing-guide. (Korean) Latex writing checklist

pcl_tutorial. ROS PCL Library Tutorial for everyone

paper_quality_plot.matlab. Paper quality plot using Matlab

Eigen_for_Robotics. Pose Conversion

mcl_2d_lidar_ros. Monte Carlo Localization (MCL) using 2D LiDAR on Robot Operating System (ROS)

quatro-cpp-fpfh. Some examples to show how to use Quatro implemented in TEASER++ library

helloceres. [Easy] Ceres Solver tutorial at the easiest way

Naverlabs-LiDAR-API. LiDAR API of NAVERLABS indoor dataset

3d_rotation_study. 3D rotation comparison with GTSAM, OpenCV, and Eigen

moderncpp_study. Modern C++ study

OpenFLANN. Performance comparison of NearestSearch and radiusSearch function in point cloud.

pytorch.uwb.localization. Real-world data!

autoinstall. Hyungtae's Auto-Installation Shellscripts

graph_slam_tutorial. Graph SLAM의 모든것 (Korean)

cmake_make_install_study. Study the principle of how `sudo make install` works (Korean only)

generate_kitti_360_map. C++

kiss-matcher-pointclouds. Example point cloud data to test KISS-Matcher

HOV-SG. [RSS2024] Official implementation of "Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation"

ikd_tree_ros. Makefile

fill_depth_colorization.python3. Fill depth using image file and projected Velodyne pointclouds on Python3

rqt_histogram. A fork of rqt_plot that presents the data as a histogram.

VGGT-SLAM. VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

Awesome-CV-Hyeonmin. TeX

navtech-radar-slam. Radar SLAM: Outlier radar odometry (ORORA) + ScanContext

LimHyungTae.github.io. :sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

awesome-lidar. 😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

kitti360Scripts. This repository contains utility scripts for the KITTI-360 dataset.

rosbag2kitti-parser. Python

patchwork-plusplus. Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

hello_pybinding. C++

ros_gridmaps_examples. CMake

scene-scale-diffusion. The official implementation for "Diffusion Probabilistic Models for Scene-Scale 3D Categorical Data"

small_gicp. Efficient and parallel algorithms for point cloud registration [C++, Python]

FAST-LIO-SAM-QN. A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP

evo. Python package for the evaluation of odometry and SLAM

pmc. Parallel Maximum Clique Library

USIP. USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. ICCV 2019

urlkaist.

kitti360_ros_player. ROS package to publish the KITTI-360 dataset.