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SPARK Lab @ MIT
- Boston, the U.S.
- shapelim [at] ${My Affiliation} [dot] edu
- in/hyungtae-lim-34b8a015a
- https://buymeacoffee.com/htlim
Highlights
- Pro
LiDARSLAM
Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps (chen2021icra)
[IROS2022] Robust Real-time LiDAR-inertial Initialization Method.
Interactive Map Correction for 3D Graph SLAM
Robust Planar Odometry Based on Symmetric Range Flow and Multi-Scan Alignment
[IROS 2021] CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
A Robust LiDAR-Inertial Odometry for Livox LiDAR
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
ECTLO: Effective Continuous-Time Odometry Using Range Image for LiDAR with Small FoV.(IROS2023)
SiLK (Simple Learned Keypoint) is a self-supervised deep learning keypoint model.
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time
Excellent FastSLAM with 2D Laser Scan Match in Python Environment