Optimization Based and Point Uncertainty Aware Radar-inertial Odometry for 4D Radar System

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

LSD-SLAM

EKF-based LiDAR-Inertial Map matching Localization

ICRA 2021 - Robust Place Recognition using an Imaging Lidar

ROS Driver for NovAtel OEM7 GNSS/SPAN Receivers

InGM-LIO: A Multiscale Gaussian Model-Based LiDAR-Inertial Odometry Using Invariant Kalman Filtering.

🪙 COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry (ICRA 2024)

Collect some World Models for Autonomous Driving papers.

Collection of Papers with Codes: LiDAR Odometry/SLAM, Dynamic Object Removal, and Multiple Map Merging

semantic visual slam for monocular and stereo camera devices

T-LOAM: Truncated Least Squares Lidar-only Odometry and Mapping in Real-Time

GLIM: versatile and extensible range-based 3D localization and mapping framework

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

DSP IIR realtime filter library written in C++

A collection of GICP-based fast point cloud registration algorithms

Multi-threaded and SSE friendly NDT algorithm

lidar-imu-cam-GPS时间戳硬件同步方案

This repository is calibrate muti lidar, lidar and imu, lidar and camera, sing lidar

Benchmark for lidar and visual place recognition

iG-LIO with Loop Closure(PGO) and Online Re-Localize

[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints

Smartphone navigation positionning, fusion GPS and IMU sensors.

Efficient Online Segmentation of Ground&Wall Points for Multi-line Spinning LiDARs. //在线分割激光点云中的地面点和墙面点。

fusion_pointclouds 主要目的为Ubuntu环境下无人车多激光雷达标定之后， 将多个激光雷达点云话题/坐标系 通过PCL (Point Cloud Library)融合为 一个ros点云话题，以便于后期点云地面分割与地面处理等等。

Livox device driver under ros, support Lidar Mid-40, Mid-70, Tele-15, Horizon, Avia.

我的导航学习笔记，内容涵盖导航定位开源程序的源码解读 ( 包括：RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐；本仓库会长期更新，分享出来，既是跟大家做个交流，也激励着自己坚持学下去；所有内容都可以随意转载，原始文件都放在这了，欢迎在我的基础上整理出自己的一些文档。

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.