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Hyungtae Lim's Projects

a-loam icon a-loam

Advanced implementation of LOAM

awesome-lidar icon awesome-lidar

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

balm icon balm

An efficient and consistent bundle adjustment for lidar mapping

depth_clustering icon depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dynavins icon dynavins

DynaVINS : A Visual-Inertial SLAM for Dynamic Environments

erasor icon erasor

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

fast_lio icon fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

helloceres icon helloceres

Graph SLAM을 하기 위한 Ceres tutorial 코드들

hyungtaelim.github.io icon hyungtaelim.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

iekf icon iekf

Invariant Kalman Filter in SE(2) and SE(3)

ikd-tree icon ikd-tree

This repository provides implementation of an incremental k-d tree for robotic applications.

kiss-icp icon kiss-icp

KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf

lcdnet icon lcdnet

PyTorch code for training LCDNet for loop closure detection in LiDAR SLAM. http://rl.uni-freiburg.de/research/lidar-slam-lc

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

limhyungtae.github.io icon limhyungtae.github.io

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

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