XikunLiu-huskit/GLIO
glio
GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-free State Estimation
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XikunLiu-huskit
XikunLiu-huskit • individual
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Aug 16, 2023
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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.
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Updated 2 years ago
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- 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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