
The Telemetry subteam uses web, mobile, and IoT technology to collect, analyze, and display data from vehicle testing. We're responsible for the high-frequency data collection, storage, and efficiency analysis required for data-driven engineering.
A distributed telemetry architecture using modular sensor nodes and a central DAQ computer to collect, synchronize, and transmit vehicle data in real time.
A real-time dashboard for monitoring vehicle performance, with RaceGPT providing AI-powered analysis and insights from live telemetry.
A post-race analysis platform for exploring and comparing telemetry across runs, helping engineers identify performance trends, diagnose issues, and guide future vehicle improvements.

Telemetry Lead
CS 2028

Telemetry Lead
CS/Stats 2028

Telemetry Member
CS 2027

Telemetry Member
CS 2028

Telemetry Member
CS 2029

Telemetry Member
CS/Math 2029

Telemetry Member
CS/ECE 2029

Telemetry Member
CS/Math 2029

Telemetry Member
CS/ECE 2029