Computer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset

Author:

Zarski Mateusz1ORCID,Wojcik Bartosz1ORCID,Miszczak Jaroslaw A.2ORCID,Blachowski Bartlomiej3ORCID,Ostrowski Mariusz3ORCID

Affiliation:

1. Faculty of Civil Engineering, Silesian University of Technology, Gliwice, Poland

2. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland

3. Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland

Funder

European Union through the European Social Fund as a part of the Silesian University of Technology as a Centre of Modern Education Based on Research and Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 9 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. Local Site Effects Evaluation Using Geophysical Methods;Advances in Environmental Engineering and Green Technologies;2024-01-17

2. Solution to real time civil engineering tasks via machine learning;Machine Learning Applications in Civil Engineering;2024

3. Real-time Observation of Earthquake Disaster Zones with Wireless Sensor Networks-based Solutions;2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES);2023-11-23

4. Domain adaptation method for semantic segmentation in marine vessel inspection;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

5. Visual blockage assessment at culverts using synthetic images to mitigate blockage-originated floods;Journal of Hydroinformatics;2023-07-01

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