Machine Vision Techniques for Condition Assessment of Civil Infrastructure

Author:

Koch Christian,Zhu Zhenhua,German Paal Stephanie,Brilakis Ioannis

Publisher

Springer London

Cited by 8 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. EtherCAT-Enabled Depth Camera for Safe Human-Robot Collaboration;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Recent computer vision applications for pavement distress and condition assessment;Automation in Construction;2023-02

3. Data Augmentation for Improving Deep Learning Models in Building Inspections or Postdisaster Evaluation;Journal of Performance of Constructed Facilities;2021-08

4. Autonomous detection of damage to multiple steel surfaces from 360° panoramas using deep neural networks;Computer-Aided Civil and Infrastructure Engineering;2021-03-24

5. Bridge damage: Detection, IFC-based semantic enrichment and visualization;Automation in Construction;2020-04

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