谷歌浏览器插件
订阅小程序
在清言上使用

The Development of a Prototype Solution for Detecting Wear and Tear in Pedestrian Crossings

Goncalo J. M. Rosa, Joao M. S. Afonso,Pedro D. Gaspar,Vasco N. G. J. Soares,Joao M. L. P. Caldeira

APPLIED SCIENCES-BASEL(2024)

引用 0|浏览0
暂无评分
摘要
Crosswalks play a fundamental role in road safety. However, over time, many suffer wear and tear that makes them difficult to see. This project presents a solution based on the use of computer vision techniques for identifying and classifying the level of wear on crosswalks. The proposed system uses a convolutional neural network (CNN) to analyze images of crosswalks, determining their wear status. The design includes a prototype system mounted on a vehicle, equipped with cameras and processing units to collect and analyze data in real time as the vehicle traverses traffic routes. The collected data are then transmitted to a web application for further analysis and reporting. The prototype was validated through extensive tests in a real urban environment, comparing its assessments with manual inspections conducted by experts. Results from these tests showed that the system could accurately classify crosswalk wear with a high degree of accuracy, demonstrating its potential for aiding maintenance authorities in efficiently prioritizing interventions.
更多
查看译文
关键词
pedestrian crossings,smart cities,computer vision,convolutional neural networks,performance evaluation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要