Applying Machine Vision Algorithm on Pavement Marking Retroreflectivity Measurement-Reference-Cited by-同舟云学术

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Applying Machine Vision Algorithm on Pavement Marking Retroreflectivity Measurement

Published:2023-12 Issue:4 Volume:29 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Chou Chia-Pei¹,Lee Yao-Xuan²^ORCID,Chen Ai-Chin³^ORCID

Affiliation:

1. Distinguished Professor, Dept. of Civil Engineering, National Taiwan Univ., Taipei 106319, Taiwan.

2. Graduate Research Assistant, Dept. of Civil Engineering, National Taiwan Univ., Taipei 106319, Taiwan. ORCID:

3. Assistant Professor, Dept. of Traffic Science, Central Police Univ., 56, Shuren Rd., Taoyuan 333322, Taiwan (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JITSE4.ISENG-2161

Reference18 articles.

1. AMAC Global (Advanced Mobile Asset Collection Global) 2020. “Advanced mobile data collection.” Accessed August 15 2021. https://www.amacglobal.com/.

2. Pavement Marking Retroreflectivity and Crash Frequency: Segmentation, Line Type, and Imputation Effects

3. A Computational Approach to Edge Detection

4. Carlson, P. 2011. Evaluation of sign retroreflectivity measurements from the advanced mobile asset collection (AMAC) system. College Station, TX: Texas A&M Transportation Institute.

5. Investigation of Longitudinal Pavement Marking Retroreflectivity and Safety

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