📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO 24]
Create consistent 3D maps using LiDAR data for robotics applications.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO 24]
PIN_SLAM has 616 stars on GitHub. It has been forked 79 times. PIN_SLAM is written mainly in Python. It has been in active development since 2024. PIN_SLAM is available under the MIT license. Its main topics are 3d-mapping, implicit-neural-representation, robotics, slam.
📍PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency [TRO 24]
PIN_SLAM is an open-source project. It is released under the MIT license.
Yes. PIN_SLAM is free and open source — you can use, modify and self-host it.
PIN_SLAM is available under the MIT license.
PIN_SLAM is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/prbonn-pin-slam.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.