An open API service providing repository metadata for many open source software ecosystems.

Topic: "lidar-inertial-odometry"

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: 12 days ago - Pushed at: 11 months ago - Stars: 2,148 - Forks: 453

hku-mars/FAST-LIVO2

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

Language: C++ - Size: 86.7 MB - Last synced at: 17 days ago - Pushed at: 28 days ago - Stars: 2,084 - Forks: 300

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: about 1 month ago - Pushed at: 11 months ago - Stars: 918 - Forks: 197

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: about 1 month ago - Pushed at: 3 months ago - Stars: 852 - Forks: 122

hku-mars/ImMesh

ImMesh: An Immediate LiDAR Localization and Meshing Framework

Language: C++ - Size: 34.7 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 653 - Forks: 58

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 months ago - Pushed at: 5 months ago - Stars: 625 - Forks: 129

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: 5 months ago - Pushed at: about 2 years ago - Stars: 550 - Forks: 156

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 287 - Forks: 56

hku-mars/Swarm-LIO2

[T-RO 24] Swarm-LIO2: Decentralized, Efficient LiDAR-inertial Odometry for UAV Swarms

Size: 24 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 259 - Forks: 15

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: 6 months ago - Pushed at: 6 months ago - Stars: 213 - Forks: 16

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 1 month ago - Pushed at: about 1 year ago - Stars: 211 - Forks: 21

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: 6 months ago - Pushed at: 6 months ago - Stars: 145 - Forks: 11

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 1 month ago - Pushed at: over 1 year ago - Stars: 137 - Forks: 19

i2Nav-WHU/FF-LINS

A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State Estimator

Language: C++ - Size: 6.56 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 126 - Forks: 23

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 98 - Forks: 10

tiev-tongji/LIMOT

A Tightly-Coupled System for LiDAR-Inertial Odometry and Multi-Object Tracking.

Language: C++ - Size: 6.98 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 96 - Forks: 9

tiev-tongji/LOG-LIO

A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation

Language: C++ - Size: 3.31 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 77 - 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: 6 months ago - Pushed at: 6 months ago - Stars: 76 - Forks: 5

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: 6 months ago - Pushed at: 6 months ago - Stars: 47 - Forks: 6

JokerJohn/Robust_LIO_Localization

Lidar localization system with prior map constraint and lio constraint based on GTSAM

Size: 0 Bytes - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 46 - Forks: 1

ASIG-X/RESPLE

The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry

Language: C++ - Size: 37.7 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 14 - Forks: 1

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

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