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    Driver Interface Using CAN Communication System

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    ITC_2022_22-06-02.pdf
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    Author
    Delgado, Benni
    Tan, Nicholas
    Smith, Nick
    Larsen, CJ
    Kobran, Luke
    Afzal, Shayan
    Advisor
    Marcellin, Michael
    Affiliation
    University of Arizona
    Issue Date
    2022-10
    
    Metadata
    Show full item record
    Citation
    Delgado, B., Tan, N., Smith, N., Larsen, C., Kobran, L., & Afzal, S. (2022). Driver Interface Using CAN Communication System. International Telemetering Conference Proceedings, 57.
    Publisher
    International Foundation for Telemetering
    Journal
    International Telemetering Conference Proceedings
    URI
    http://hdl.handle.net/10150/666937
    Additional Links
    http://www.telemetry.org/
    Abstract
    Dashboards and head-units in automobiles provide a subconscious accumulation of information to the driver, allowing for proper operation of the car. Last year[1], we designed a system using a Raspberry Pi, Arduino, and an LCD screen to provide the driver with the necessary information, further advancing the performance of the car. This year we have improved the system by removing the use of the Arduino and including WS2812b individually addressable LED’s. These improvements have led to a more streamlined codebase, lower production cost, and a more compact design. We have continued to use the CAN Bus configured to allow the sensors in the car, such as the throttle position sensor, engine speed, etc. to send information to the dashboard. With this information, we are able to decode and interpret the data into easily interpreted visualizations for the driver using a stripped down version of Linux and Electron, a tool used for building user interfaces with Node.js.
    Type
    Proceedings
    text
    Language
    en
    ISSN
    1546-2188
    0884-5123
    0074-9079
    Sponsors
    International Foundation for Telemetering
    Collections
    International Telemetering Conference Proceedings, Volume 57 (2022)

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