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Data Acquisition Hardware Design for Advanced Vehicle Research
CTL: Center for Transportation & Logistics
Our research seeks to understand how drivers engage with and leverage vehicle automation, driver assistance technologies, and the range of in-vehicle and portable technologies for connectivity and infotainment appearing in modern vehicles. To accomplish this, we are conducting a large naturalistic study of drivers in several new vehicles that are equipped with Tesla’s Autopilot, GM’s Supercruise and other similar systems. The vehicles are instrumented with a data acquisition system logging audio, video, gps, kinematic, and vehicle (CAN) peripherals. Opportunities exist to enhance the robustness and extend the capability of our current system through hardware and embedded software redesign by means of new peripheral implementation and improved debugging. The role of this UROP will be to work with the team’s instrumentation engineer on a range of improvements. The work will require a hands-on approach to hardware and instrumentation, with a focus on system integrity and building out efficiencies.
Valid driver’s license and familiarity with basic DC circuits and Unix-based systems. Experience with serial communication, Raspberry Pi, and Arduino/C++ preferred.