Treffer: Computer-Aided Road Inspection:Systems and Algorithms
Title:
Computer-Aided Road Inspection:Systems and Algorithms
Authors:
Contributors:
Hosny, Khalid M., Salah, Ahmad
Source:
Fan, R, Guo, S, Wang, L & Bocus, M J 2023, Computer-Aided Road Inspection : Systems and Algorithms. in K M Hosny & A Salah (eds), Studies in Computational Intelligence : Recent Advances in Computer Vision Applications Using Parallel Processing. Studies in Computational Intelligence, vol. 1073, Springer, Cham, pp. 13-39. https://doi.org/10.48550/arXiv.2203.02355, https://doi.org/10.1007/978-3-031-18735-3_2
Publisher Information:
Springer, Cham
Publication Year:
2023
Collection:
University of Bristol: Bristol Reserach
Subject Terms:
Document Type:
Buch
book part
File Description:
application/pdf
Language:
English
Relation:
info:eu-repo/semantics/altIdentifier/arxiv/http://arxiv.org/abs/2203.02355v1; info:eu-repo/semantics/altIdentifier/hdl/https://hdl.handle.net/1983/ebcdb46e-c1c9-4420-84bd-314b74eb286c; info:eu-repo/semantics/altIdentifier/isbn/978-3-031-18734-6
DOI:
10.48550/arXiv.2203.02355
Availability:
Rights:
info:eu-repo/semantics/openAccess
Accession Number:
edsbas.DAAA607E
Database:
BASE
Weitere Informationen
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection process is pricey, dangerous, exhausting, and cumbersome. Also, manual road inspection results are qualitative and subjective, as they depend entirely on the inspector's personal experience. Therefore, there is an ever-increasing need for automated road inspection systems. This chapter first compares the five most common road damage types. Then, 2-D/3-D road imaging systems are discussed. Finally, state-of-the-art machine vision and intelligence-based road damage detection algorithms are introduced.