This repository is for "Robust Loop Closure by Textual Cues in Challenging Environments".

A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]

[ECCV 2024 Oral] SPLAM: Accelerating Image Generation with Sub-path Linear Approximation Model

Modified simple version based on LIO-SAM.

A simple location system based on a priori map, which is based on the lio-sam framework

「香港大学 MaRS 实验室」开源 ikd-Tree 算法中文注释版；新增了header-only分支，便于直接嵌入工程。

对常见IMU芯片的原理、驱动和数据融合算法整理，以区分某度、某坛上面碎片化严重到影响入坑的乱象

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

learning SLAM,curse,paper and others

WebGL point cloud viewer for large datasets

[ICCV2023] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

Reference_Book_for_VSALM

An unofficial open source implentation of CSIRO's Wildcat SLAM.

(ICRA 2019) Visual-Odometric On-SE(2) Localization and Mapping

Autoware - the world's leading open-source software project for autonomous driving

Lidar-based Place Recognition Using Bird's-eye View Images

Direct-LiDAR-Inertial-Odometry-and-Mapping的复现版本

CT-LIO: Continuous-Time LiDAR-Inertial Odometry

CT-ICP: Continuous-Time LiDAR Odometry

A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.

[TMECH'2024] Official codes of ”PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation“

LIO_SAM for 6-axis IMU and GNSS.

This repo is modified based on LIO_SAM, which remove the feature extraction module and makes it easier to adapt your sensor.

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

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

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.