Stars
A Multi-sensor Fusion Odometry via Smoothing and Mapping.
Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)
[T 10000 PAMI 2023] A cascaded vision-LiDAR odometry and mapping system
[RA-L 2024] A LiDAR-inertial-visual odometry and mapping system based on the sweep reconstruction method
A curated list of resources relevant to LiDAR-Visual-Fusion-SLAM
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
An efficient and consistent bundle adjustment for lidar mapping
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
A LiDAR-Inertial Odometry with Efficient Uncertainty Analysis.
[IROS 2024] A LiDAR-inertial odometry (LIO) package that can adjust the execution frequency beyond the sweep frequency
iG-LIO: An Incremental GICP-based Tightly-coupled LiDAR-inertial Odometry
Maybe the simplest LiDAR-inertial odometry that one can have.
🪙 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry (ICRA 2024)
Voxelmap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
LiDAR-Inertial Odometry via Simultaneous Ego-motion Estimation and Multiple Object Tracking (ICRA 2023)
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
[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.
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
[IROS 2021] CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
[T-PAMI 2025] The official repo for “GPS-Gaussian+: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views”
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
gisbi-kim / FAST_LIO_SLAM
Forked from hku-mars/FAST_LIOLiDAR SLAM = FAST-LIO + Scan Context
Front_end : fastlio2 Back_end : lio_sam
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
ROS2 / FAST_LIO / PGO / Online Re-Localization / Consistent Map with BA or HBA