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- Vehicle speed
- State of charge
- Analytics on data
As an extended feature, we could perform analytics on the data, aggregating various data sources to optimize performance and determine what aspects of the car can be improved.
What do other teams do?
Here we attempt to reverse engineer how other teams do their telemetry. This is a combination of browsing through GitHub, watching YouTube videos, and smart Google-search queries.
Eclipse
As seen by their UI, the focus is on the telemetry operator taking an interactive approach, and "exploring" through various graphing visualizations that they find useful. One thing that I think is useful here is their Last Seen timestamp for each signal.
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You are able to graph every signal with respect to time.
Minnesota
Detailed Design
The proposed approach was originally inspired after a realization that having a working realtime telemetry system would be really useful for the race. Our previous "telemetry system" involved the driver periodically radioing back sensor data displayed on the vehicle dash to the chase car.
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