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balm

basalt-headers-mirror

Mirror of the Basalt-Headers repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt-headers

clins

CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System

dyn_small_obs_avoidance

fast-robust-icp

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

gvins

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

hdmapnet

ic-gvins

A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System

imaging_lidar_place_recognition

ICRA 2021 - Robust Place Recognition using an Imaging Lidar

kontiki

Toolkit for continuous-time structure from motion

lio-sam

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

livox_camera_calib

This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

mlcc

Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras

mlstoals

城市车机载激光点云配准

msf_loam

Multi-Sensor Fusion SLAM Based on A-LOAM.

mulls

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square [ICRA '21]

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

puma

Poisson Surface Reconstruction for LiDAR Odometry and Mapping

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

randla-net-pytorch

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

semantic_suma

SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)

sp-slam

Point-Plane SLAM Using Supposed Planes for Indoor Environments

spline

c++ cubic spline library

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator