Do tyres dream of electric clouds?
summary
Connesso mounts sensors in the tyre tread groove and streams pressure temperature angular velocity and patch angle via a dongle to a cloud pipeline that runs both a physics model estimating reduced rolling radius from angular velocity and patch angle and a parallel data‑driven replacement predictor; the backend uses a Java Spring REST API with Python model containers on AWS, lab calibration and indoor track tests validate models but field ground truth is limited to a narrow set of car models, and serverless limits and cross‑team hardware/software integration drive pragmatic choices.
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chapters (10)
- 0:00Introduction
- 5:35Connesso
- 9:37Evaluation of tire wear
- 16:38Connesso - High-level architecture
- 18:13Architectural choices
- 22:04Teams and Tools
- 26:33Cross-functional integration
- 27:51Lessons learned
- 32:33End of talk
- 33:00Questions
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