Distracted Driver Monitoring with Smartphones: A Preliminary Literature Review

被引:0
|
作者
Kaiser, Christian [1 ]
Stocker, Alexander [1 ]
Papatheocharous, Efi [2 ]
机构
[1] Virtual Vehicle Res GmbH, Graz, Austria
[2] RISE Res Inst Sweden, Kista, Sweden
来源
PROCEEDINGS OF THE 2021 29TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT), VOL 1 | 2021年
关键词
MOBILE PHONE USE; SAFETY; VEHICLES;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Distracted driving is known to be one of the leading causes of vehicle accidents. With the increase in the number of sensors available within vehicles, there exists an abundance of data for monitoring driver behaviour, which, however, have so far only been comparable across vehicle manufacturers to a limited extent due to proprietary solutions. A special role in distraction is played by the smartphone, which is repeatedly a source of distraction for drivers through calls and messages. However, the smartphone can be used for driver behaviour monitoring (like driver distraction detection) too, as current developments show. As vehicle manufacturer-independent device, which is usually equipped with adequate sensor technology, smartphones can provide significant advantages, however, an overview of such approaches is missing so far. Thus, this work carries out an author-centric literature review of 16 research papers to illustrate the opportunities in using smartphones to detect driver distraction.
引用
收藏
页码:169 / 176
页数:8
相关论文
共 50 条
  • [31] Detecting Driver Distraction Using Smartphones
    Paruchuri, Vamsi
    Kumar, Aravind
    2015 IEEE 29TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (IEEE AINA 2015), 2015, : 468 - 475
  • [32] Promoting Driver Safety by Avoiding Distracted Driving Behaviors
    Parsons, Lynn C.
    ORTHOPAEDIC NURSING, 2017, 36 (03) : 182 - 185
  • [33] Prevalence of distracted driving by driver characteristics in the United States
    Cox, Aimee E.
    Cicchino, Jessica B.
    Reagan, Ian J.
    Zuby, David S.
    JOURNAL OF SAFETY RESEARCH, 2023, 86 (346-356) : 346 - 356
  • [34] Distracted driver recognition system using deep forest
    Sharma M.
    Bansal A.
    Agrawal U.
    Goyal P.
    International Journal of Electronic Business, 2021, 16 (04) : 336 - 351
  • [36] Detection of Distracted Driver using Convolutional Neural Network
    Baheti, Bhakti
    Gajre, Suhas
    Talbar, Sanjay
    PROCEEDINGS 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2018, : 1145 - 1151
  • [37] An Efficient Deep Learning Framework for Distracted Driver Detection
    Sajid, Faiqa
    Javed, Abdul Rehman
    Basharat, Asma
    Kryvinska, Natalia
    Afzal, Adil
    Rizwan, Muhammad
    IEEE ACCESS, 2021, 9 : 169270 - 169280
  • [38] An Efficient Deep Learning Framework for Distracted Driver Detection
    Sajid, Faiqa
    Javed, Abdul Rehman
    Basharat, Asma
    Kryvinska, Natalia
    Afzal, Adil
    Rizwan, Muhammad
    IEEE Access, 2021, 9 : 169270 - 169280
  • [39] The uses of smartphones and tablet devices in surgery: A systematic review of the literature
    Mobasheri, Mohammad H.
    Johnston, Maximilian
    Syed, Usama M.
    King, Dominic
    Darzi, Ara
    SURGERY, 2015, 158 (05) : 1352 - 1371
  • [40] Agility as a Driver of Digital Transformation - a Literature Review
    Schloemer, Inga F.
    ROLE OF DIGITAL TECHNOLOGIES IN SHAPING THE POST-PANDEMIC WORLD, 2022, 13454 : 238 - 253