Library/glioForked

XikunLiu-huskit/GLIO

glio

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

Builder

XikunLiu-huskit

XikunLiu-huskit

XikunLiu-huskit • individual

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405

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42

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Created

Aug 16, 2023

Project creation date

README Summary

GLIO is a tightly-coupled sensor fusion framework that integrates GNSS, LiDAR, and IMU data for robust state estimation. The system provides continuous and drift-free localization by leveraging the complementary strengths of each sensor modality. It is implemented in C for real-time performance in robotics and autonomous systems applications.

AI Dev Skills

Unmapped

Sensor FusionSLAM (Simultaneous Localization and Mapping)Kalman FilteringMulti-modal Data IntegrationState EstimationPoint Cloud ProcessingInertial NavigationGNSS Processing

Tags

Sensor FusionSLAM (Simultaneous Localization and Mapping)Kalman FilteringMulti-modal Data IntegrationState EstimationPoint Cloud ProcessingInertial NavigationGNSS ProcessingGPS-denied Environment NavigationRobot NavigationSurveyingPoint CloudReal-time ProcessingSelf-hostedPrecision MappingMulti-sensor State EstimationAutonomous Vehicle LocalizationMappingOn-premiseMaritimeEdge/MobileReal-time Pose Estimation3DEdge AIAerospaceRoboticsAutonomous VehiclesSensor DataC

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Updated 2 years ago

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research
Quality
medium
Maturity
research

Categories

Inference & ServingPrimaryEdge & Mobile AIOther AI / MLAI AgentsComputer VisionRobotics

PM Skills

Product DiscoveryUser Experience

Languages

C100.0%

Timeline

Project created
Aug 16, 2023
Forked
Mar 23, 2026
Your last push
2 years ago
Upstream last push
2 years ago
Tracked since
Dec 27, 2023

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