IDEAS home Printed from https://ideas.repec.org/a/axf/aidtaa/v3y2026i1p69-81.html

Current Status and Application Research of Advanced Driver Assistance Systems (ADAS)

Author

Listed:
  • Tao, Zhen

Abstract

Advanced Driver Assistance Systems (ADAS) have rapidly evolved, transforming the automotive industry and promising enhanced safety, comfort, and efficiency for drivers. This research article provides a comprehensive overview of the current status of ADAS technologies, examining their functionalities, limitations, and market penetration. We delve into the underlying algorithms, sensor technologies, and control strategies employed in various ADAS features, including adaptive cruise control, lane keeping assist, automatic emergency braking, and blind spot detection. Furthermore, we explore the application research of ADAS, focusing on its impact on traffic flow, driver behavior, and accident rates. The study also investigates the challenges and opportunities associated with ADAS implementation, such as sensor fusion, cybersecurity, and human-machine interface design. Finally, we discuss the future trends of ADAS, including the integration of artificial intelligence, vehicle-to-everything (V2X) communication, and autonomous driving capabilities. This review aims to provide valuable insights for researchers, engineers, and policymakers involved in the development and deployment of advanced driver assistance systems.

Suggested Citation

  • Tao, Zhen, 2026. "Current Status and Application Research of Advanced Driver Assistance Systems (ADAS)," Artificial Intelligence and Digital Technology, Scientific Open Access Publishing, vol. 3(1), pages 69-81.
    • Handle: RePEc:axf:aidtaa:v:3:y:2026:i:1:p:69-81
    as

    Download full text from publisher

    File URL: https://soapubs.com/index.php/AIDT/article/view/1495/1366
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:axf:aidtaa:v:3:y:2026:i:1:p:69-81. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Yuchi Liu (email available below). General contact details of provider: https://soapubs.com/index.php/ICSS .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.