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KAIST Urban Robotics Lab.
- Daejeon, Korea
- https://blog.naver.com/ted97k
- https://kimdaebeom.github.io
Highlights
- Pro
Stars
Multi-Mapcher: Loop closure detection-free heterogeneous LiDAR multi-session SLAM leveraging outlier-robust registration for autonomous vehicles (T-IV)
An unofficial open source implentation of CSIRO's Wildcat SLAM.
LIV-Eye: A Low-Cost LiDAR-Inertial-Visual Fusion 3D Sensor for Robotics and Embodied AI.
(ICRA 2025) LiLoc: Lifelong Localization using Adaptive Submap Joining and Egocentric Factor Graph
[ICCV 2025, Highlight] BUFFER-X: Zero-Shot Point Cloud Registration
[CVPR 2025, Highlight] CrossOver: 3D Scene Cross-Modal Alignment
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.
🌟 SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations (ICRA 2023)
A large-scale multi-robot dataset for multi-robot SLAM
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework
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)
Static Map Generation from 3D LiDAR Point Clouds Exploiting Ground Segmentation
[ICRA@40] MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System
FRAME: Fast and Robust Autonomous 3D Point Cloud Map-Merging for Egocentric Multi-Robot Exploration
KISS-Matcher: Fast, Robust, and Scalable Registration + ROS2 SLAM examples
[ICRA2025] HeLiOS: Heterogeneous LiDAR Place Recognition
LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian(Published in SIGGRAPH Asia 2024)
SOTA Multi-modal LiDARs Mapping Framework (accepted in T-IV)
SOTA LiDAR Global Descriptor in LiDAR Place Recognition (accepted in RA-L'24 w/ ICRA'25)
[NeurIPS24 Spotlight] Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
INS-Centric Visual-Inertial Navigation System With LiDAR Enhancement
The implementation about feature matching using various method !!