Use our comprehensive data sets for machine learning model training without tedious data collection and annotation phase. Develop and validate ADAS and autonomous driving algorithms with RoadCloud’s fleet vehicle data.
Algorithm development and validation
Automatic data annotation
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Road Friction and Tyre Grip
Enhance your machine learning algorithms. RoadCloud's vehicle data sets include the following data types: road friction, road quality, road state (optical sensor measurements), acceleration, wheel speeds, ambient temperature, ABS, ESC, ASR event data, time, position and various other Can-bus data types.
Our reference data can be utilized in the development of your friction estimation technology. Raw CAN-bus data in addition to RoadCloud's reference friction data provides unique possibilities for development purposes.
Acceleration and wheel speed data can be used in the development and improvement of road surface quality algorithms.
Improve tread wear evaluation with high-frequency wheel speed data and employ acceleration sensor data for adaptive suspension system development (suspension tuning, predictive features).
Book a meeting now and learn how RoadCloud's data sets can speed up machine learning for your organisation.