• AN IMPROVED TELEMETRY SYSTEM FOR MONITORING AN OFF-ROAD RACECAR

      Anderson, Kohl; Boyer, Kyle; Brubaker, Laura; Fuehrer, Daniel; Herriman, Richard; Houston, Paul; Ruckle, Sean; Marcellin, Michael; Univ Arizona, Dept Elect & Comp Engn (International Foundation for Telemetering, 2018-11)
      The University of Arizona Baja Racing Team competes annually in a grueling off-road racing competition designed to test the durability of each team’s vehicle. For the last several years, we have been developing a custom telemetry system to monitor and analyze the performance of the vehicle in order to provide live diagnostics to the pit crew and driver, as well as to inform future designs. This year, we have redesigned the core of the system to be more modular and use more COTS parts in order to allow easier upgrade and repair, and have upgraded many existing sensors, added sensors to monitor driver vitals, improved the driver’s display, and embedded USB hubs in our power distribution boards to allow programming of all microcontrollers on the vehicle over a single USB interface. These changes will make future development easier and will produce far more data than we have had in previous generations.
    • A PORTABLE SOLUTION FOR ON-SITE ANALYSIS AND VISUALIZATION OF RACE CAR TELEMETRY DATA

      Backhaus, Christopher; Boyer, Kyle; Elmadani, Safwan; Houston, Paul; Ruckle, Sean; Marcellin, Michael; Univ Arizona (International Foundation for Telemetering, 2018-11)
      The University of Arizona Baja Racing Team competes annually in a grueling off-road racing competition designed to test the durability of each team’s vehicle. For the last several years, we have been creating and improving upon a telemetry system for the car in order to provide live data and analysis to the driver and pit crew during races, as well as to inform the design of future vehicles. This year, we have created a portable system consisting of a high-performance computer running a custom software package in a ruggedized case with a variety of networking gear. The software is built around a modular, multithreaded analysis engine and can perform live and retrospective analysis on data received from multiple sources, the results of which can be displayed using the built-in GUI or accessed via web interface.