Driver Interface Using CAN Communication System Wildcat Formula Racing Electronics

Benni Delgado, Nicholas Tan, Nick Smith C.J. Larsen, Luke Kobran, Shayan Afzal, Michael Marcellin

Research output: Contribution to journalConference articlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)233-243
Number of pages11
JournalProceedings of the International Telemetering Conference
StatePublished - 2022
Event57th Annual International Telemetering Conference, ITC 2022 - Glendale, United States
Duration: Oct 24 2022Oct 27 2022

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation
  • Computer Networks and Communications
  • Signal Processing


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