People out there are really creative. Trackdays and Telemetry
ELM32 vs ESP32
Trackday and GoPro MetaData
By the end of last year, a friend got the chance to do this:
And it was all recorded with a Go Pro apparently!
So…we can do our GoPro telemetry trick
Which basically tells us a lot about speeds recorded by GoPro GPS on the 3 video parts which were recorded at 4K30:
You can also open it with Google Colab:
Max Speed: 41.35 m/s (148.86 km/h) Average Speed: 22.03 m/s (79.30 km/h) Median Speed: 21.62 m/s (77.84 km/h)
Max Speed: 40.74 m/s (146.65 km/h) Average Speed: 22.13 m/s (79.66 km/h) Median Speed: 21.24 m/s (76.46 km/h)
Max Speed: 41.16 m/s (148.18 km/h) Average Speed: 21.30 m/s (76.68 km/h) Median Speed: 19.88 m/s (71.57 km/h)
BMW E36 and Canbus
Six in line cilynders of pure joy.
This project ESP32 based and json configurable sounds just amazing:
Gauge.S is all-car datalogger and development board.
For the future…maybe a contactless brake temperature system?
We can, with a MLX Sensor!
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More Software for Track
Synchronizes data from applications with a camera recording
What about PhyPhox
And lately…I recorded how it feels (the data behind) an airplane take-off:
ffmpeg -i IMG_5294.MOV -ss 00:03:35 -to 00:05:25 -c copy output.MOV
How does it look the data?
You guessed it, you can process PhyPhox Data with Python: