automated data analysis, kpi generation and targeting
TRANSCRIPT
June 10th, 2020 | Automated Data Analysis, KPI Generation and Targeting
Automated Data Analysis, KPI Generation and TargetingMatthias Niegl | Senior Vehicle Dynamics Engineer
June 10th, 2020 | Automated Data Analysis, KPI Generation and Targeting
Why do we need automated evaluation?
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▪ Human/Engineer
▪ Volatile memory
▪ Inaccurate sensor
▪ Most important measurement instrument
▪ Supporting subjective impressions with objective data directly after the measurement run!
Memory; a contribution to experimental psychologyEbbinghaus, Hermann, 1850-1909
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KPI based assessment of vehicle performance
CONSISTENT DEVELOPMENT OF DRIVING PERFORMANCE
Targets
KPIs
Simulation dataMeasurement data
Test Libraries
• Vehicle Dynamics • Lateral Guidance• Longitudinal Guidance
Attribute baseddevelopment
Report
June 10th, 2020 | Automated Data Analysis, KPI Generation and Targeting
Evaluation using the example of ADAS/LKAS Free Run
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▪ Measurement run conducted – data is available
▪ KPI targeting – enter target data for CCG
▪ Automated event detection
▪ KPI calculation and visualization
▪ Visualization of the signal data
▪ Online mode for in vehicle usage
▪ In the loop evaluation with observer mode
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Matthias Niegl
Address: Hessstraße 89, 80797 MünchenTel: +49 173 2396818Fax: +49 89 95444585Mail: [email protected]: www.mdynamix.de
Contact Information
MdynamiX AG – Affiliated Institute of Munich University of Applied Sciences