Master Thesis work: Seating and driver interactions in automated vehicles

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Location: Vårgårda
Start Date: VT20

The introduction of automation in vehicles will disrupt the traditional driving task from active driving to passive monitoring. With significant advancement in technology vehicles are equipped with driving assisted features (lane keep assistance, collision assistance etc.) to enhance the safety quotient of drivers. Today’s vehicle could handle the lateral and longitudinal control while the human driver must monitor the road and respond immediately when the system limits are reached (Level 2, partial driving automation, SAE J3016, 2018). At Level 3 (conditional driving automation) drivers have the possibility to engage in non-driving related task (NDRT) but remain as fallback-ready drivers who takes over the dynamic driving task (DDT) upon take over request (TOR) by the automated driving system or in case of system failures. At higher levels of automation (Level 4 and above), driver is not considered as fall back option, however driver-initiated transitions are possible, but the vehicle would not request for driver intervention.

In a qualitative study from Petterson and Karlssson (2015) reported that relaxing, sleeping with recline seats, and living room position (front seats rotated to 180) were the most popular positions preferred by end-users in autonomous cars. This study would evaluate the end-user requirements of the seating position and the desired HMI (Human Machine Interface, defined as a set of explicit and implicit communication between the driver and the vehicle) to facilitate maneuvering of a prototype vehicle (Level 4 with driver-initiated transitions) in a safe and efficient manner. Besides automation levels, motion sickness is also seen as one of the factors that affects seat postures and the driver activities. Utilizing the right user-centric approach and with heuristic evaluation methodologies, this study would identify key requirements for designing the seat positions and the supporting HMI of future level 4 vehicles from end-users’ perspective.

Note: Autoliv’s prototype vehicle (Level 4) can be tested only in a controlled driving environment. Students undertaking this thesis should hold a driver’s license of category B.

If you have any questions contact; Arun Muthumani 0322-626315 

Application deadline: 2019-12-15

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