道路感知：智能道路监控系统

International Journal for Research in Applied Science and Engineering Technology Pub Date : 2024-07-31 DOI:10.22214/ijraset.2024.63499

Naina Nimisha, Subrat Pandey, Siddhant Priyadarshi, Dr. Anusha Preetham

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引用次数: 0

摘要

摘要：该项目提出了一种通过机器学习利用视频录像检测道路基础设施中的交通信号、车道布局和减速带的系统。车道检测是通过感兴趣区域选择和边缘检测进行的。车道线根据特定特征提取。对深度学习模型进行训练，以检测车道边界和道路曲率。该系统可提供实时警报和建议，以增强道路安全和驾驶体验。

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Road Sense: Intelligent Road Monitoring System

Abstract: This project proposes a system for detecting traffic signals, lane layouts, and speed bumps in road infrastructure using video footage through machine learning. Lane detection is performed through region of interest selection and edge detection. Lane lines are extracted based on specific characteristics. A deep learning model is trained to detect lane boundaries and road curvature. The system provides real-time alerts and recommendations to enhance road safety and driving experiences.

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来源期刊

International Journal for Research in Applied Science and Engineering Technology

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