Semantic 3D occupancy mapping through efficient high order CRFs-Reference-Cited by-同舟云学术

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Semantic 3D occupancy mapping through efficient high order CRFs

Published:2017-09 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Yang Shichao,Huang Yulan,Scherer Sebastian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8119304/8202121/08202212.pdf?arnumber=8202212

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient High-Quality Vectorized Modeling of Large-Scale Scenes;International Journal of Computer Vision;2024-05-20

2. SEE-CSOM: Sharp-Edged and Efficient Continuous Semantic Occupancy Mapping for Mobile Robots;IEEE Transactions on Industrial Electronics;2024-02

3. Interactive Semantic Map Representation for Skill-Based Visual Object Navigation;IEEE Access;2024

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5. PanopticNDT: Efficient and Robust Panoptic Mapping;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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