التفاصيل البيبلوغرافية
العنوان: |
HAIS: Highways Automated-Inspection System |
المؤلفون: |
Hossam A. Gabbar, Abderrazak Chahid, Manir U. Isham, Shashwat Grover, Karan Pal Singh, Khalid Elgazzar, Ahmad Mousa, Hossameldin Ouda |
المصدر: |
Technologies; Volume 11; Issue 2; Pages: 51 |
بيانات النشر: |
Multidisciplinary Digital Publishing Institute |
سنة النشر: |
2023 |
المجموعة: |
MDPI Open Access Publishing |
مصطلحات موضوعية: |
Internet of Things (IoT), road inspection, deep learning, classification, object detection, API, SQL database, prototyping, Firebase |
الوصف: |
A smart city is a trending concept describing a new generation of cities operated intelligently with minimal human intervention. It promotes energy sustainability, minimal environmental impact, and better governance. In transportation, the remote highway infrastructure monitoring will enhance the driver’s safety, continuously report road conditions, and identify potential hazardous incidents such as accidents, floods, or snow storms. In addition, it facilitates the integration of future cuttingedge technologies such as self-driving vehicles. This paper presents a general introduction to a smart monitoring system for automated real-time road condition inspection. The proposed solution includes hardware devices/nodes and software applications for data processing, road condition inspection using hybrid algorithms based on digital signal processing, and artificial intelligence technologies. The proposed system has an interactive web interface for real-time data sharing, infrastructure monitoring, visualization, and management of inspection reports which can improve the maintenance process. |
نوع الوثيقة: |
text |
وصف الملف: |
application/pdf |
اللغة: |
English |
Relation: |
https://dx.doi.org/10.3390/technologies11020051 |
DOI: |
10.3390/technologies11020051 |
الاتاحة: |
https://doi.org/10.3390/technologies11020051 |
Rights: |
https://creativecommons.org/licenses/by/4.0/ |
رقم الانضمام: |
edsbas.BBE39D37 |
قاعدة البيانات: |
BASE |