engcang/FAST-LIO-SAM
FAST-LIO-SAM
a SLAM implementation combining FAST-LIO2 with pose graph optimization and loop closing based on LIO-SAM paper
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engcang
engcang • individual
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Jul 5, 2023
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FAST-LIO-SAM is a SLAM implementation that combines the real-time performance of FAST-LIO2 with pose graph optimization and loop closure detection from LIO-SAM. The system integrates LiDAR-inertial odometry with backend optimization to provide accurate and robust simultaneous localization and mapping. It leverages the strengths of both approaches to achieve high-frequency state estimation with global consistency through loop closure corrections.
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Updated 1 years ago
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- Project created
- Jul 5, 2023
- Forked
- Mar 16, 2026
- Your last push
- 1 years ago
- Upstream last push
- 1 years ago
- Tracked since
- Oct 27, 2024
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