Researchers from South Carolina State University Detail Research in Machine Lear ning (Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies)

南卡罗来纳州立大学的研究人员详细研究了机器学习（通过机器学习和深度学习增强道路安全：使用车内技术的坑洞检测和尺寸估计）

Robotics & Machine Learning Daily News2024，Issue(Jun.10) ：62-62.

来源：

NETL
NSTL

Researchers from South Carolina State University Detail Research in Machine Lear ning (Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies)

南卡罗来纳州立大学的研究人员详细研究了机器学习（通过机器学习和深度学习增强道路安全：使用车内技术的坑洞检测和尺寸估计）

扫码查看

摘要

由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx编辑来自南加州奥兰治堡的新闻，这项研究指出，“检测和估计坑洞尺寸是道路养护的一个重要步骤。老化、暴雨、交通和薄弱的下卧层可能会导致路面坑洞。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news originating from Orangeburg, South Ca rolina, by NewsRx editors, the research stated, “Detection and estimation of pot hole dimensions is an essential step in road maintenance. Aging, heavy rainfall, traffic, and weak underlying layers may cause pavement potholes.”

Key words

South Carolina State University/Orangeb urg/South Carolina/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Technology

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航