Hyungtae Lim's Projects
Advanced implementation of LOAM
Hyungtae's Auto-Installation Shellscripts
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
An efficient and consistent bundle adjustment for lidar mapping
Study the principle of how `sudo make install` works (Korean only)
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
Pose Conversion
Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21
Python package for the evaluation of odometry and SLAM
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Fill depth using image file and projected Velodyne pointclouds on Python3
Folder / directory structure options and naming conventions for software projects
Graph SLAM의 모든것 (Korean)
Graph SLAM을 하기 위한 Ceres tutorial 코드들
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
RO Net ver.1.0
Invariant Kalman Filter in SE(2) and SE(3)
This repository provides implementation of an incremental k-d tree for robotic applications.
PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
Intel® RealSense™ SDK