Efficient Large-Scale Incremental Dense Mapping using Robot-centric Implicit Neural Representation

The proposed Robot-centric Implicit Mapping (RIM) technique enables efficient, scalable, and high-quality large-scale incremental dense mapping using range sensors by leveraging a robot-centric local map, a decoupled global map, bundle supervision, and outlier removal.