Automating intersection marking data collection and condition assessment at scale with an artificial intelligence-powered system

Automating intersection marking data collection and condition assessment at scale with an artificial intelligence-powered system

Abstract Intersection markings play a vital role in providing road users with guidance and information. The conditions of intersection markings will be gradually degrading due to vehicular traffic, rain, and/or snowplowing. Degraded markings can confuse drivers, leading to increased risk of traffic...

Full description

Bibliographic Details
Main Authors: Kun Xie, Huiming Sun, Xiaomeng Dong, Hong Yang, Hongkai Yu
Format: Article
Language:English
Published: Springer 2023-07-01
Series:Computational Urban Science
Subjects:
Intersection markings
Artificial intelligence
Data acquisition
Degradation condition assessment
Infrastructure management
Online Access:https://doi.org/10.1007/s43762-023-00098-7

Internet

https://doi.org/10.1007/s43762-023-00098-7

Similar Items