Defect detection with ego-noise reduction based on multimodal information in UAV hammering inspection-Reference-Cited by-同舟云学术

Defect detection with ego-noise reduction based on multimodal information in UAV hammering inspection

Published:2024-08-09 Issue: Volume: Page:1-13
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Shoda Koki¹,Louhi Kasahara Jun Younes²^ORCID,Asama Hajime²^ORCID,An Qi¹^ORCID,Yamashita Atsushi¹^ORCID

Affiliation:

1. Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

2. Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan

Funder

JSPS

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2024.2388119

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4. Minami T Fujiu M Takayama J et al. A study on image diagnostic technology for bridge inspection using ultra high resolution camera. In: Proceedings of the 2018 5th International Conference on Road and Rail Infrastructure (CETRA); 2018 May 17–19; Zadar Croatia. Piscataway (NJ): IEEE; 2018. p. 79–85.

5. Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections