Real-time machine learning-based approach for pothole detection-Reference-Cited by-同舟云学术

Real-time machine learning-based approach for pothole detection

Published:2021-12 Issue: Volume:184 Page:115562
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Egaji Oche Alexander,Evans Gareth,Griffiths Mark Graham,Islas Gregory

Funder

Llywodraeth Cymru

European Regional Development Fund

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference30 articles.

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3. Asphalt Industry Alliance. (2019). Annual Local Authority Road Maintenance (ALARM) Survey. Asphalt Industry Alliance. https://www.asphaltuk.org/wp-content/uploads/alarm-survey-2019-digital.pdf.

4. Random search for hyper-parameter optimization;Bergstra;Journal of Machine Learning Research,2012

5. Bhatt, U., Mani, S., Xi, E., & Kolter, J. Z. (2017). Intelligent pothole detection and road condition assessment. ArXiv Preprint ArXiv:1710.02595.

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