Efficient Approach for Autonomous Facility Inspection Using UAV Images-Reference-Cited by-同舟云学术

Efficient Approach for Autonomous Facility Inspection Using UAV Images

Published:2022-06 Issue:2 Volume:28 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Lin Yan-Ting¹^ORCID,Kan Yi-Hsuan²,Han Jen-Yu³^ORCID

Affiliation:

1. Project Assistant Researcher, National Center for Research on Earthquake Engineering, National Applied Research Laboratories, No. 200, Sec. 3, Xinhai Rd., Taipei 106219, Taiwan. ORCID:

2. Research Associate, Dept. of Civil Engineering, National Taiwan Univ., No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan.

3. Professor, Dept. of Civil Engineering, National Taiwan Univ., No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000676

Reference44 articles.

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3. Ammar A. A. Koubaa M. Ahmed and A. Saad. 2019. “Aerial images processing for car detection using convolutional neural networks: Comparison between faster R-CNN and yolov3.” Preprints submitted October 26 2019. http://arxiv.org/abs/1910.07234.

4. Theoretical analysis of the max/Median filter

5. Speeded-Up Robust Features (SURF)

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