발간년도 : [2024]
| 논문정보 |
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| 논문명(한글) |
[Vol.19, No.3] Driving Road Recognition System for Personal Mobility Based on YOLO |
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| 논문투고자 |
Hyewon Lee, Minju Park, Hyokyoung Chang |
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| 논문내용 |
This paper addresses the increasing incidence of traffic accidents involving personal mobility devices, particularly on sidewalks and crosswalks where personal mobility device usage is prohibited. Despite the necessity of monitoring and regulating the illegal operation of personal mobility devices on restricted roads, real-time identification and enforcement pose significant challenges. To overcome these limitations, we propose a monitoring system that utilizes road image data to recognize the type of road and identify unauthorized personal mobility device usage. An application was developed to test the system's performance, leveraging the YOLO object detection model to distinguish road types. This application aims to guide personal mobility device users to adhere to appropriate routes by detecting when they are operating on prohibited roads and issuing warnings and guidance messages accordingly. The system's implementation includes real-time alerts to deter personal mobility device users from entering restricted areas, thus enhancing road safety. In the final section of this paper, we discuss the limitations of the system and suggest potential improvements, outlining directions for future research. Through this study, we hope to lay the groundwork for reducing traffic accidents involving personal mobility devices on restricted roads, ultimately contributing to a significant decrease in overall personal mobility device-related traffic incidents and improving public safety. |
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