csiro-robotics/InCloud
[IROS2022] Official repository of InCloud: Incremental Learning for Point Cloud Place Recognition, Published in IROS2022 https://arxiv.org/abs/2203.00807
This project helps roboticists and autonomous vehicle developers ensure their robots can reliably recognize previously visited locations, even after encountering new environments. It takes 3D point cloud data from LiDAR sensors as input and produces an improved model for place recognition, preventing performance drops when a robot explores new areas or experiences changes in its environment. Robotics engineers and researchers working on robot navigation systems would use this to build more robust and adaptable autonomous systems.
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Use this if you are developing autonomous robots or vehicles that need to accurately recognize places from 3D LiDAR data across diverse and changing environments.
Not ideal if your application does not involve 3D point cloud data or if you are not working with autonomous navigation or robotics.
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Language
Python
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Last pushed
Mar 08, 2024
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