Library/LIO-EKFForked

YibinWu/LIO-EKF

LIO-EKF

[ICRA2024] Maybe the simplest LiDAR-inertial odometry that one can have.

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Builder

YibinWu

YibinWu • individual

Stars

314

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Forks

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Sep 11, 2023

Project creation date

README Summary

LIO-EKF is a LiDAR-inertial odometry system presented at ICRA 2024 that aims to be the simplest implementation possible. It uses an Extended Kalman Filter (EKF) to fuse LiDAR and IMU sensor data for real-time pose estimation and mapping.

AI Dev Skills

Unmapped

Extended Kalman FilteringSensor FusionLiDAR Point Cloud ProcessingInertial Navigation SystemsSLAM AlgorithmsState EstimationRobotics Perception3D Geometry Processing

Taxonomy

AI Trends

Edge/Mobile AI Real-time AI Embodied AI

Deployment Context

Edge/Mobile On-device

Industries

Robotics Autonomous Vehicles Drones/UAV Industrial Automation

Modalities

3D Sensor Data

Skill Areas

Extended Kalman Filtering Sensor Fusion LiDAR Point Cloud Processing Inertial Navigation Systems SLAM Algorithms State Estimation Robotics Perception 3D Geometry Processing

Use Cases

Robot Localization Autonomous Navigation 3D Mapping Mobile Robot SLAM Real-time Pose Estimation

Recent Activity

Updated 9 months ago

7 Days

30 Days

90 Days

Quality

research

Quality: medium
Maturity: research

PM Skills

Developer Platform

Languages

C++100.0%

Timeline

Project created: Sep 11, 2023
Forked: Mar 16, 2026
Your last push: 9 months ago
Upstream last push: 9 months ago
Tracked since: Jul 16, 2025

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