Real-Time Safety Driving Advisory System Utilizing a Vision-Based Driving Monitoring Sensor

被引:1
|
作者
Tada, Masahiro [1 ]
Nishida, Masayuki [2 ]
机构
[1] Kindai Univ, Fac Informat, Higashiosaka 5778502, Japan
[2] Kindai Univ, Grad Sch Sci & Engn, Higashiosaka 5778502, Japan
关键词
driver monitoring; safety driving advisory system; DRIVER; BEHAVIOR;
D O I
10.1587/transinf.2023EDL8077
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, we use a vision-based driving monitoring sensor to track drivers' visual scanning behavior, a key factor for preventing traffic accidents. Our system evaluates driver's behaviors by referencing the safety knowledge of professional driving instructors, and provides realtime voice-guided safety advice to encourage safer driving. Our system's evaluation of safe driving behaviors matched the instructor's evaluation with accuracy over 80%.
引用
收藏
页码:901 / 907
页数:7
相关论文
共 50 条
  • [1] Vision-based drowsiness detector for Real Driving Conditions
    Garcia, I.
    Bronte, S.
    Bergasa, L. M.
    Almazan, J.
    Yebes, J.
    2012 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2012, : 618 - 623
  • [2] Real-Time Fatigue Monitoring System in Diverse Driving Scenarios
    Shajahan, Thasnimol Valuthottiyil
    Srinivasan, Babji
    Srinivasan, Rajagopalan
    2024 IEEE SPACE, AEROSPACE AND DEFENCE CONFERENCE, SPACE 2024, 2024, : 124 - 127
  • [3] Active Vision-Based Attention Monitoring System for Non-Distracted Driving
    Alam, Lamia
    Hoque, Mohammed Moshiul
    Akber Dewan, M. Ali
    Siddique, Nazmul
    Rano, Inaki
    Sarker, Iqbal H.
    IEEE ACCESS, 2021, 9 : 28540 - 28557
  • [4] Driving into the future: A scoping review of smartwatch use for real-time driver monitoring
    Barka, Roza Eleni
    Politis, Ioannis
    TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES, 2024, 25
  • [5] A Real-Time Recognition System of Driving Propensity Based on AutoNavi Navigation Data
    Wang, Xiaoyuan
    Chen, Longfei
    Shi, Huili
    Han, Junyan
    Wang, Gang
    Wang, Quanzheng
    Zhong, Fusheng
    Li, Hao
    SENSORS, 2022, 22 (13)
  • [6] Driving Authority Allocation Strategy Based on Driving Authority Real-Time Allocation Domain
    Zhang, Ziyu
    Wang, Chunyan
    Zhao, Wanzhong
    Xu, Can
    Chen, Guoping
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (07) : 8528 - 8543
  • [7] Real-time detection of distracted driving based on deep learning
    Duy Tran
    Ha Manh Do
    Sheng, Weihua
    Bai, He
    Chowdhary, Girish
    IET INTELLIGENT TRANSPORT SYSTEMS, 2018, 12 (10) : 1210 - 1219
  • [8] Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services
    Wang, Junhua
    Sun, Shuaiyi
    Fang, Shouen
    Fu, Ting
    Stipancic, Joshua
    ACCIDENT ANALYSIS AND PREVENTION, 2017, 99 : 321 - 329
  • [9] Real-time driving style classification based on short-term observations
    Zheng, Xinhu
    Yang, Pengtao
    Duan, Dongliang
    Cheng, Xiang
    Yang, Liuqing
    IET COMMUNICATIONS, 2022, 16 (12) : 1393 - 1402
  • [10] Reasoning-Based Framework for Driving Safety Monitoring Using Driving Event Recognition
    Wu, Bing-Fei
    Chen, Ying-Han
    Yeh, Chung-Hsuan
    Li, Yen-Feng
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 14 (03) : 1231 - 1241