From vehicle data to a holistic situation assessment - the practice-oriented KIsSME approach

Authors

F. Hantschel, Z. Zhang - RA Consulting, D. Schmidt - Bosch Accident Research, F. Lüttner - Frauenhofer-Institut für Kurzzeitdynamik (EMI)

Summary

In the development of new vehicles with automation levels 4-5, the real data obtained during test drives plays an important role, especially for the validation of highly auto-mated functionalities. The data volumes collected in this manner can reach several terabytes per test drive. If not reduced during the test drive, data analysis is associated with significant effort and low efficiency.

In order to improve this situation, the KIsSME research project investigates a practical approach for reducing test-drive data based on an assessment of the safety-relevance and criticality of driving situations. How such relevance, or criticality, can be defined and how it can be calculated practically from vehicle data collected at nearly real-time and be used for holistic situation assessment was one of the core topics of the first year of the KIsSME project.

This paper focuses on the development of a suitable On-Board-System, that integrates acquisition of measurements with an relevance and criticality assessment of holistic situations and efficient data recording.