all AI news
Volumetric Semantically Consistent 3D Panoptic Mapping
March 6, 2024, 5:46 a.m. | Yang Miao, Iro Armeni, Marc Pollefeys, Daniel Barath
cs.CV updates on arXiv.org arxiv.org
Abstract: We introduce an online 2D-to-3D semantic instance mapping algorithm aimed at generating comprehensive, accurate, and efficient semantic 3D maps suitable for autonomous agents in unstructured environments. The proposed approach is based on a Voxel-TSDF representation used in recent algorithms. It introduces novel ways of integrating semantic prediction confidence during mapping, producing semantic and instance-consistent 3D regions. Further improvements are achieved by graph optimization-based semantic labeling and instance refinement. The proposed method achieves accuracy superior to …
2d-to-3d 3d maps abstract agents algorithm algorithms arxiv autonomous autonomous agents confidence consistent cs.cv cs.ro environments instance mapping maps novel prediction representation semantic type unstructured voxel
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Lead Data Modeler
@ Sherwin-Williams | Cleveland, OH, United States