kimdaebeom

kimdaebeom's Stars

• OpenGVLab/VisionLLM

  VisionLLM Series

  Language:Python1k431639

• koide3/glim

  GLIM: versatile and extensible range-based 3D localization and mapping framework

  Language:C++727187692

• hku-mars/Voxel-SLAM

  Language:C++37349215

• thien94/orb_slam3_ros

  A ROS implementation of ORB_SLAM3

  Language:C++317239102

• zhaofuq/LOD-3DGS

  LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)

  Language:Python314112436

• hku-mars/D-Map

  D-Map provides an efficient occupancy mapping approach for high-resolution LiDAR sensors.

  Language:C++30715725

• PRBonn/MapClosures

  Effectively Detecting Loop Closures using Point Cloud Density Maps

  Language:C++29671223

• Yixin-F/better_fastlio2

  Postgraduate Thesis: fast_lio_sam + dynamic removal (T-GRS 2024) + multi-session mapping (ICRA 2022 Kim) + object-level update + online relocalization (ICRA 2025) + real-world application (MD-LVIO)

  Language:C++2954545

• rvp-group/mad-icp

  Minimal, robust, accurate and real-time LiDAR odometry

  Language:C++28820619

• MIT-SPARK/KISS-Matcher

  2384127

• snt-arg/lidar_situational_graphs

  Repository to generate in real-time Situational Graphs (S-Graphs) for robot pose and map optimization using 3D LiDAR Data

  Language:C++23171025

• dhchung/nv_liom

  LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments

  Language:C++22321420

• TIERS/tiers-lidars-dataset

  Multi-modal multi-lidar dataset

  Language:C++21761621

• JokerJohn/MS-Mapping

  [ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System

  1872426

• MIT-SPARK/Kimera-Multi-Data

  A large-scale multi-robot dataset for multi-robot SLAM

  16551312

• sparolab/SOLiD

  (RA-L 2024) This repository is the official code for Narrowing your FOV with SOLiD: Spatially Organized and Lightweight Global Descriptor for FOV-constrained LiDAR Place Recognition.

  Language:Python144646

• i2Nav-WHU/LE-VINS

  INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement

  Language:C++122649

• gwenzhang/Voxel-Mamba

  [NIPS'24] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection

  Language:Python1086137

• hku-mars/iBTC

  Language:C++871238

• yutongwangBIT/GOReloc

  Language:C++78778

• minwoo0611/HeLiOS

  Heterogeneous LiDAR Place Recognition

  60310

• LTU-RAI/FRAME

  FRAME: Fast and Robust Autonomous 3D Point Cloud Map-Merging for Egocentric Multi-Robot Exploration

  Language:Python58813

• rvp-group/vbr-devkit

  Vision Benchmark in Rome Development Kit

  Language:Python406110

• sparolab/uni-mapper

  Uni-Mapper: Unified Mapping Framework for Multi-modal LiDARs in Complex and Dynamic Environments

  39301

• PRBonn/dynamic-point-removal

  Static Map Generation from 3D LiDAR Point Clouds Exploiting Ground Segmentation

  Language:Python38534

• MIT-SPARK/Kimera-Multi-LCD

  Language:C++34529

• SungJaeShin/Feature_matching

  The implementation about feature matching using various method !!

  Language:C++25210

• sunghoon031/PCR-99

  MATLAB implementation of PCR-99

  Language:MATLAB19202

• kaancolak/travel

  ROS2 package of "TRAVEL: Traversable Ground and Above-Ground Object Segmentation using Graph Representation for 3D LiDAR Scans" algorithm

  Language:C++5100

• KOKIAOKI/Demo---Practical-optimal-registration-of-terrestrial-LiDAR-scan-pairs

  Language:C++1000