RE: Euro NCAP - 2030 vision9 Nov 2022 10:49
In-Cabin Monitoring
Driver distraction and driver inattention are major contributing factors in car incidents and crashes (Klauer
et al., 2006), and naturalistic driving studies have demonstrated that the highest risk may be associated
with visually demanding tasks (Victor et al., 2014).
To detect driver inattention and drowsiness, several car manufacturers are introducing in-cabin sensors
that estimate the driver’s state by analysing driver movements such as steering input, head motion, gaze,
and eye opening. Euro NCAP has evaluated firstgeneration Attention Assist technology since 2020 and
is introducing more elaborate requirements for more advanced Driver Monitoring systems in 2023.
At the present time driver monitoring technology is still in its infancy, but significant advances, such as enhanced detection of drowsiness, are expected in the coming years. More efficient and robust systems can be encouraged by expanding noise variable requirements e.g., extreme seating positions, specific noise variables
for each driver state; incorporating alternative approaches to facial monitoring specifically to track
phone usage, linking situational awareness to ADAS activation; and rewarding Human Machine Interaction
(HMI) best practices that reduce unnecessary distraction, help build well-calibrated trust, and promote system
acceptance. Euro NCAP’s spot testing regime will gradually evolve to take these developments
into account.
Next to this, Euro NCAP seeks to explore new areas related to driving safely, such as the safe use and
accessibility of general controls. This approach follows up on recent developments within vehicle design and
feedback received from the public. Criteria may target general ergonomics as well as human factors topics.
In Europe around 25% of all road fatalities are alcohol related (Avenoso, 2019). A key real-world priority for
the midterm therefore is to expand the scope of driver impairment adding specific detection of driving under
the influence and sudden sickness with advanced vision and/or biometric sensors and introducing more advanced
requirements for risk mitigation functions. In the long term, systems may be able to deal with stress detection
and cognitive distraction, i.e., when the driver takes his or her mind from the driving task due to another
mentally demanding task (Hamilton & Grabowski, 2013). Tackling cognitive distraction, however, is technically
very challenging and effective systems are still hope for the future.
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