A LiDAR odometry pipeline that just works

RViz2 plugin for displaying overlays over the 3D scene

GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation

RoboSense LiDAR cross-platform driver kernel for advanced development

GNSS Base Station based on Raspberry Pi 4B

Python library for parsing and generating UBX GPS/GNSS protocol messages.

An Arduino Library for the BNO08x IMU combination triple axis accelerometer/gyro/magnetometer packaged with an ARM Cortex M0+ running powerful algorithms.

Python Graphical GPS Client Application supporting NMEA, UBX, SBF, UNI, QGC, RTCM3, NTRIP & SPARTN Protocols

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

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

Deep Patch Visual Odometry/SLAM

This is the official Pytorch implementation of the IROS 2024 paper Deep Visual Odometry with Events and Frames using Recurrent Asynchronous and Massively Parallel (RAMP) networks for Visual Odometr…

Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)

Python implementation of a loosely coupled GNSS/IMU sensor fusion based on Matlab code from Paul Groves

LiDAR Odometry for Beginner

Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models

Release repo for our SLAM Handbook

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

Updated (opencv3 and camera2 API) android camera calibration application

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

edition 2 of the slambook

slamplay is a collection of powerful tools to start playing and experimenting with SLAM in C++

pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure stra…

Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"

IMU + X(GNSS, 6DoF Odom) Loosely-Coupled Fusion Localization based on ESKF, IEKF, UKF(UKF/SPKF, JUKF, SVD-UKF) and MAP

Vehicle State Estimation using Error-State Extended Kalman Filter

An implementation of an Error State Kalman Filter (ESKF)