Collaboratively inspect large-area sewer pipe networks using pipe robotic capsules-Reference-Cited by-同舟云学术

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Collaboratively inspect large-area sewer pipe networks using pipe robotic capsules

Published:2021-11-02 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th International Conference on Advances in Geographic Information Systems
language:
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Author:

Gu Yu¹,Tu Wei²,Li Qingquan³,Zhao Tianhong³,Zhao Dingyi⁴,Zhu Song⁴,Zhu Jiasong⁴

Affiliation:

1. Department of Urban informatics, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China

2. Department of Urban Informatics, Shenzhen University, Shenzhen, China

3. Guangdong Key Laboratory of Urban Informatics & Dept. of Urban Informatics, Shenzhen University, Shenzhen, China

4. College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, China

Funder

Shenzhen Technology Research Project

The High-Speed Railway Joint Project of Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474717.3483948

Reference35 articles.

1. Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks

2. Infrared thermography for condition monitoring – A review

3. GUIDES

4. Surface-penetrating radar

Cited by 2 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. Multisensor data fusion approach for sediment assessment of sewers in operation;Engineering Applications of Artificial Intelligence;2024-06

2. Multi-scale hybrid vision transformer and Sinkhorn tokenizer for sewer defect classification;Automation in Construction;2022-12

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