Ψ-Map combines plane-constrained Gaussian surfels from LiDAR with end-to-end panoptic lifting to deliver high-precision geometric and semantic reconstruction in large-scale environments at real-time speeds.
Available: https://arxiv.org/abs/2312.03275
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
MORN augments frozen VLM-based object navigation agents with a System 2 meta-controller using Potentiality Index, Persistence Gating, and Evidence Accumulation to improve goal completion rate from 0.23 to 0.30 and reduce wasted steps on the HM3D dataset.
Fast-SegSim achieves real-time 3D-consistent open-vocabulary segmentation by optimizing feature accumulation in 2D Gaussian Splatting with Precise Tile Intersection and Top-K Hard Selection.
citing papers explorer
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{\Psi}-Map: Panoptic Surface Integrated Mapping Enables Real2Sim Transfer
Ψ-Map combines plane-constrained Gaussian surfels from LiDAR with end-to-end panoptic lifting to deliver high-precision geometric and semantic reconstruction in large-scale environments at real-time speeds.
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MORN: Metacognitive Object-Goal Regulation for Resource-Rational Long-Horizon Navigation
MORN augments frozen VLM-based object navigation agents with a System 2 meta-controller using Potentiality Index, Persistence Gating, and Evidence Accumulation to improve goal completion rate from 0.23 to 0.30 and reduce wasted steps on the HM3D dataset.
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Fast-SegSim: Real-Time Open-Vocabulary Segmentation for Robotics in Simulation
Fast-SegSim achieves real-time 3D-consistent open-vocabulary segmentation by optimizing feature accumulation in 2D Gaussian Splatting with Precise Tile Intersection and Top-K Hard Selection.