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  • 标题:Real-time Aggressive Driving Detection System based on In-vehicle Information using LoRa Communication
  • 本地全文:下载
  • 作者:Yongsu Jeon ; Chanwoo Kim ; Hyunwook Lee
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2020
  • 卷号:308
  • 页码:1-6
  • DOI:10.1051/matecconf/202030806001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Safe driving has attracted a significant amount of attention in recent years owing to the increase in the complexity of the driving environment. There are many research studies focusing on detection of aggressive driving that may cause traffic accidents. In this paper, we propose a system for acquiring vehicles’ interior data and thereby detecting dangerous driving conditions. The system is designed to transmit the information acquired to a data server using Long Range (LoRa) communication networks. Through experimentation, we confirm that the proposed system can detect aggressive driving behaviors in real time and store them on the data server through LoRa communication. We evaluated techniques for acquiring in-vehicle information on 14 vehicles and confirmed that data can be extracted from most of the commonly available vehicles.
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