Catenary Bolt Detection and Localization Algorithm Based on Depth Perception and YOLOv7-AM-Reference-Cited by-同舟云学术

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Catenary Bolt Detection and Localization Algorithm Based on Depth Perception and YOLOv7-AM

Published:2023-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 7th International Conference on Computer Science and Application Engineering
language:
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Author:

Gui Chuyang¹^ORCID,Meng Xiangyin¹^ORCID,Xiao Shide¹^ORCID,Liu Xuekai¹^ORCID,Wu Nanyang¹^ORCID,Wang Mushuai¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Southwest Jiaotong University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627915.3628094

Reference15 articles.

1. Analysis of the key technologies for maintenance and overhaul of overhead contact line in electrified railway;Lu X L;Technology Innovation and Application,2017

2. The Automatic Recognition of Large Ball Valve Sealing Bolt Based on Digital Image

3. Research on bolt identification and positioning algorithms based on 3D vision;Yin R D;Journal of China University of Metrology,2021

4. Ramana Lovedeep , Choi Wooram and Cha Young-Jin ( 2019 ). Fully automated vision-based loosened bolt detection using the Viola –Jones algorithm. Structural Health Monitoring , 18(2), 422 −434. Ramana Lovedeep, Choi Wooram and Cha Young-Jin (2019). Fully automated vision-based loosened bolt detection using the Viola –Jones algorithm. Structural Health Monitoring, 18(2), 422 −434.

5. A Rail Fastener Tightness Detection Approach Using Multi-source Visual Sensor

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