ZhouZijie77/LCPR

[RAL/IROS 2024] LCPR: A Multi-Scale Attention-Based LiDAR-Camera Fusion Network for Place Recognition

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When autonomous vehicles need to identify their location based on what they 'see,' this project helps. It takes camera images from multiple viewpoints and LiDAR range data, then processes them to create unique, rotation-invariant fingerprints of a location. This is ideal for roboticists and engineers developing self-driving cars or other autonomous navigation systems that need robust localization.

No commits in the last 6 months.

Use this if you are building an autonomous system and need to accurately recognize previously visited locations using both camera and LiDAR sensor data, even if the vehicle's orientation has changed.

Not ideal if your autonomous system relies solely on a single type of sensor (e.g., only cameras or only LiDAR) for place recognition.

autonomous-navigation robotics self-driving-vehicles localization sensor-fusion
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

94

Forks

9

Language

Python

License

MIT

Last pushed

Mar 29, 2025

Commits (30d)

0

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