Shypd.aiThe largest open index of AI toolsNeRF-LOAM is an open-source coding & development tool that provides neural implicit representation for large-scale incremental LiDAR odometry and mapping. It enables the creation of dense 3D maps and accurate odometry results.
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NeRF-LOAM is an open-source project offering a neural implicit representation for large-scale incremental LiDAR odometry and mapping. This tool is designed for robotics and autonomous navigation applications, facilitating the creation of detailed 3D maps from LiDAR data. It is based on a neural SDF and comprises three main components: neural odometry for pose optimization, neural mapping for joint optimization of voxel embeddings and pose, and key-scans refined map for final mesh reconstruction. NeRF-LOAM demonstrates strong generalization capabilities and provides qualitative results for both odometry and reconstructed maps on datasets like KITTI and Newer College. The project is available on GitHub and includes setup instructions for environment and dependencies.
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