Incorporating the Driver's Focus of Attention into Automotive Applications in Real Traffic and in Simulator Setups

Perception reaction time and mental workload have proven to be crucial in manual driving. Moreover, in highly automated cars, where most of the research is focusing on Level 4 Autonomous driving, take-over performance is also a key factor when taking road safety into account. This study aims to investigate how the immersion in non-driving related tasks affects the take-over performance of drivers in given scenarios. The paper also highlights the use of virtual simulators to gather efficient data that can be crucial in easing the transition between manual and autonomous driving scenarios. The use of Computer Aided Simulations is of absolute importance in this day and age since the automotive industry is rapidly moving towards Autonomous technology. An experiment comprising of 40 subjects was performed to examine the reaction times of driver and the influence of other variables in the success of take-over performance in highly automated driving under different circumstances within a highway virtual environment. The results reflect the relationship between reaction times under different scenarios that the drivers might face under the circumstances stated above as well as the importance of variables such as velocity in the success on regaining car control after automated driving. The implications of the results acquired are important for understanding the criteria needed for designing Human Machine Interfaces specifically aimed towards automated driving conditions. Understanding the need to keep drivers in the loop during automation, whilst allowing drivers to safely engage in other non-driving related tasks is an important research area which can be aided by the proposed study.

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Incorporating the Driver's Focus of Attention into Automotive Applications in Real Traffic and in Simulator Setups

Cited by 3 publications

References 6 publications

Multi-Hypothesis Multi-Model Driver's Gaze Target Tracking

Multi-Hypothesis Multi-Model Driver's Gaze Target Tracking

A Survey of Integrated Simulation Environments for Connected Automated Vehicles: Requirements, Tools, and Architecture

Effects of Non-Driving Related Tasks During Self-Driving Mode

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