Computer-Aided Road Inspection: Systems and Algorithms

التفاصيل البيبلوغرافية
العنوان: Computer-Aided Road Inspection: Systems and Algorithms
المؤلفون: Fan, Rui, Guo, Sicen, Wang, Li, Bocus, Mohammud Junaid
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2203.02355
رقم الأكسشن: edsarx.2203.02355
قاعدة البيانات: arXiv