GitHub topics: lidar-inertial-odometry
RyuYamamoto/eskf_lio
LiDAR Inertial Odometry based on Error State Kalman Filter
Language: C++ - Size: 30.3 KB - Last synced at: 42 minutes ago - Pushed at: about 1 hour ago - Stars: 1 - Forks: 0
hku-mars/FAST-LIVO2
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
Language: C++ - Size: 86.7 MB - Last synced at: 3 days ago - Pushed at: 17 days ago - Stars: 2,247 - Forks: 327
hku-mars/r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
Language: C++ - Size: 22 MB - Last synced at: 2 days ago - Pushed at: 12 months ago - Stars: 2,171 - Forks: 456
vectr-ucla/direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
Language: C++ - Size: 110 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 940 - Forks: 205
engcang/SLAM-application
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-ICP, iG-LIO, SR-LIO application and comparison on Gazebo and real-world datasets. Installation and config files are provided.
Language: C++ - Size: 17.7 MB - Last synced at: 5 days ago - Pushed at: 4 months ago - Stars: 904 - Forks: 125
vectr-ucla/direct_lidar_inertial_odometry
[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.
Language: C++ - Size: 22.7 MB - Last synced at: 5 days ago - Pushed at: 6 months ago - Stars: 739 - Forks: 154
ASIG-X/RESPLE
The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry
Language: C++ - Size: 204 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 77 - Forks: 8
hku-mars/Swarm-LIO2
[T-RO 24] Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms
Language: C++ - Size: 31 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 282 - Forks: 16
KIT-ISAS/lili-om
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Language: C++ - Size: 86.1 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 567 - Forks: 159
hku-mars/ImMesh
ImMesh: An Immediate LiDAR Localization and Meshing Framework
Language: C++ - Size: 34.7 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 653 - Forks: 58
xingyuuchen/LIO-PPF
[IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking
Language: C++ - Size: 128 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 211 - Forks: 21
qdLMF/LIO-SAM-GPU-ScanToMapOpt
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
Language: C++ - Size: 62.7 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 137 - Forks: 19
engcang/FAST_LIO_MULTI Fork of hku-mars/FAST_LIO
Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package
Language: C++ - Size: 134 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 98 - Forks: 10
Huguet57/LIMO-Velo
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
Language: C++ - Size: 44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 287 - Forks: 56
tiev-tongji/LIMOT
A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.
Language: C++ - Size: 6.98 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 96 - Forks: 9
engcang/FAST-LIO-Localization-QN
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method
Language: C++ - Size: 79.1 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 145 - Forks: 11
engcang/FAST-LIO-Localization-SC-QN
A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method, and with ScanContext as a loop candidate detection method
Language: C++ - Size: 66.4 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 47 - Forks: 6
engcang/FAST-LIO-SAM-SC-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on ScanContext, Quatro, and Nano-GICP
Language: C++ - Size: 47.9 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 76 - Forks: 5
engcang/FAST-LIO-SAM-QN
A SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on Quatro and Nano-GICP
Language: C++ - Size: 966 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 213 - Forks: 16
i2Nav-WHU/FF-LINS
A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator
Language: C++ - Size: 6.56 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 126 - Forks: 23
tiev-tongji/LOG-LIO
A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Language: C++ - Size: 3.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 77 - Forks: 6
ASIG-X/LiLi-OM
This is the official repository of LiLi-OM, a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Language: C++ - Size: 86.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
JokerJohn/Robust_LIO_Localization
Lidar localization system with prior map constraint and lio constraint based on GTSAM
Size: 0 Bytes - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 1
soup1997/PointCloud-Odometry
Pointcloud Odometry with using Flownet2S and IESKF
Language: Python - Size: 2.53 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
