Edge AI-Enabled Road Fixture Monitoring System

• Published in: Buildings (Basel) Vol. 14; no. 5; p. 1220
• Main Authors: Younesi Heravi, Moein, Dola, Israt Sharmin, Jang, Youjin, Jeong, Inbae
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: Automation; Crowdsourcing; Data collection; Decision making; Deep learning; digital twin; Digital twins; edge computing; Efficiency; Emergency preparedness; Emergency response; Environmental conditions; Fixtures; Forecasts and trends; Geospatial data; Global positioning systems; GPS; Infrastructure; Inspections; Internet of Things; Lasers; localization; Monitoring systems; Object recognition; Remote monitoring; Remote sensing; Response time; road fixture; Road maintenance; Roads; Roads & highways; Safety and security measures; Semantics; Sensors; Smart cities; Smartphones; Traffic control; Traffic flow; Traffic signs; Transportation planning; Vehicles

Effective monitoring of road fixtures is essential for urban safety and functionality. However, traditional inspections are time-consuming, costly, and error prone, while current automated solutions struggle with high initial setup costs, limited flexibility preventing wide adaptation, and reliance...