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An empirical analysis to assess the operational design domain of lane keeping system

An empirical analysis to assess the operational design domain of lane keeping system

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Abstract— Lower levels of automation are designed to work in specific conditions referred to as the Operational Design Domain(ODD). Beyond these conditions, the human driver is expected to take control. A mismatch between a driver’s understanding and expectations of  the automated  vehicle capabilities and its actual capabilities as prescribed in the Original  Equipment Manufacturers  (OEMs) manual, could affect their safety and trust in automation. 

The main aim of this study is  to  develop  a  method for assessing the ODD of lane keeping system equipped vehicles.The  analysis  method  is  composed  of an objective  driving  riskmeasure  based on the Probabilistic Driving  Risk  Field  (PDRF),and a subjective risk measure based on driver behavior, trust and situation  awareness. We  demonstrate the method applicability using the Automated Lane Keeping system of the Tesla Model S.A field  test was  conducted with 19 participants on public roads in the  Netherlands  including situations within and outside the defined ODD by the OEM. Across all test situations, a mismatch was observed  between the  ODD specified by the OEM and by the driver.  Situations outside the ODD (i.e. no-lane  markingsand on/off-ramp) were often regarded as within the ODD by the participants. 
Situations inside the ODD (i.e.  tunnel  and  curve) were mostly correctly classified by the participants. This analysismethod has the potential to aid OEMs and road operators in defining more clearly the ODD while taking into account the driver’s safety and awareness of the system capabilities.
You can read teh Empirical Analysis here.

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