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a-loam

Advanced implementation of LOAM

blam

calib_lidar_imu

Linear Rotation Calibration about Lidar-Imu

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

fast_lio

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

hdl_graph_slam

3D LIDAR-based Graph SLAM

iscloam

Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020

leveraging-category-information-for-single-frame-visual-sound-source-separation

PyTorch implementation of "Leveraging Category Information for Single-Frame Visual Sound Source Separation"

lidar_imu_calib

automatic calibration of 3D lidar and IMU extrinsics

lins---lidar-inertial-slam

A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

lio-sam-modified

A Modified LIO-SAM for 6-axes imu

loam_noted

loam code noted in Chinese（loam中文注解版）

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

localization_in_auto_driving

ltslam

You can learn slam step by step，there are lot of tutorials

odas

ODAS: Open embeddeD Audition System

picture

pronto-distro

Pronto is now built in ROS and developed at https://github.com/ori-drs/pronto_core

ros_study

sensorcalibration

IMU-Lidar Extrinsic Calibration Package

shanghai-university-graduate-management-system

上海大学研究生管理系统，此系统为windows桌面客户端，可避免因为网页版崩溃而导致无法进入系统。

slambook2

edition 2 of the slambook

slamtools

sound-source-localization-algorithm_doa_estimation

关于语音信号声源定位DOA估计所用的一些传统算法

um482_ros_wrapper

【和芯星通 um482 GNSS网络RTK接收机ROS驱动】the ros driver of UM482 for hexinxingtong Now it can support to transfer gpgga/gptra/besyxyz to msg: sensor_msgs::navSatFix /nmea_msgs::gpgga /nav_msgs::Odometry

urbanloco

UrbanLoco: A Full Sensor Suite Dataset for Mapping and Localization in Urban Scenes

vins-fusion

An optimization-based multi-sensor state estimator

vio_data_simulation

Generate imu data and feature in camera frame. You can use this data to test your VINS.