Lists (7)
Stars
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
[CVPR 2024] Official PyTorch implementation of SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
[IROS 2020] Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
LeGO-LOAM, LIO-SAM, LVI-SAM, FAST-LIO2, Faster-LIO, VoxelMap, R3LIVE, Point-LIO, KISS-ICP, DLO, DLIO, Ada-LIO, PV-LIO, SLAMesh, ImMesh, FAST-LIO-MULTI, M-LOAM, LOCUS, SLICT, MA-LIO, CT-ICP, GenZ-IC…
IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
[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.
A simple localization framework that can re-localize in built maps based on FAST-LIO.
An efficient and consistent bundle adjustment for lidar mapping
A highly robust and accurate LiDAR-only, LiDAR-inertial odometry
A real-time multifunctional Lidar SLAM package.