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Found 3 papers, 3 papers with code
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR scans.
PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency
In this paper, we propose a SLAM system for building globally consistent maps, called PIN-SLAM, that is based on an elastic and compact point-based implicit neural map representation.
SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations
Accurate mapping of large-scale environments is an essential building block of most outdoor autonomous systems.
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