lidar-inertial-odometry

There are 23 repositories under lidar-inertial-odometry topic.

  • hku-mars/r3live

    A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

    Language:C++2.1k52222448
  • hku-mars/FAST-LIVO2

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

  • direct_lidar_odometry

    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++8952648189
  • 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 application and comparison on Gazebo and real-world datasets. Installation and config files are provided.

    Language:C++7832312112
  • 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++6691564134
  • hku-mars/ImMesh

    ImMesh: An Immediate LiDAR Localization and Meshing Framework

    Language:C++629432756
  • 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++5531457156
  • LIMO-Velo

    Huguet57/LIMO-Velo

    A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs

    Language:C++284152256
  • hku-mars/Swarm-LIO2

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

  • 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++2386814
  • xingyuuchen/LIO-PPF

    [IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking

    Language:C++20424720
  • i2Nav-WHU/FF-LINS

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

    Language:C++16881025
  • 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++1674412
  • tiev-tongji/LOG-LIO

    A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation

    Language:C++14117511
  • 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++1283518
  • 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++96246
  • engcang/FAST_LIO_MULTI

    Multi-LiDAR version of FAST-LIO2: A computationally efficient and robust LiDAR-inertial odometry (LIO) package

    Language:C++952010
  • tiev-tongji/LIMOT

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

    Language:C++91769
  • lewisjiang/puma-lio

    [IROS'22] Official code repo for "A LiDAR-inertial Odometry with Principled Uncertainty Modeling"

  • 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++60116
  • JokerJohn/Robust_LIO_Localization

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

  • xingyuuchen/faster-lio-ppf

    [IROS 2023] Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking

    Language:C++44122
  • 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++10100