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In-vehicle technology for self-driving cars: Advantages and challenges for aging drivers

  • J. YangEmail author
  • J. F. Coughlin
Article

Abstract

The development of self-driving cars or autonomous vehicles has progressed at an unanticipated pace. Ironically, the driver or the driver-vehicle interaction is a largely neglected factor in the development of enabling technologies for autonomous vehicles. Therefore, this paper discusses the advantages and challenges faced by aging drivers with reference to in-vehicle technology for self-driving cars, on the basis of findings of recent studies. We summarize age-related characteristics of sensory, motor, and cognitive functions on the basis of extensive age-related research, which can provide a familiar to better aging drivers. Furthermore, we discuss some key aspects that need to be considered, such as familar to learnability, acceptance, and net effectiveness of new in-vehicle technology, as addressed in relevant studies. In addition, we present research-based examples on aging drivers and advanced technology, including a holistic approach that is being developed by MIT AgeLab, advanced navigation systems, and health monitoring systems. This paper anticipates many questions that may arise owing to the interaction of autonomous technologies with an older driver population. We expect the results of our study to be a foundation for further developments toward the consideration of needs of aging drivers while designing self-driving vehicles.

Key Words

In-vehicle technology Self-driving cars Aging drivers Navigation systems Health monitoring systems 

Nomenclature

AARP

american association of retired persons

ACC

adaptive cruise control

ADAS

advanced driver assistance system

AGNES

age gain now empathy system

ATIS

advanced traveler information system

FCW

forward collision warning

HUD

head-up display

IEEE

institute of electrical and electronics engineers

IT

interaction time

IVNS

in-vehicle navigation system

LKAS

lane keeping assistance system

NT

neglect time

NVE

night vision enhancement

SPAS

smart parking assistance system

UAV

unmanned aerial vehicle

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Copyright information

© The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Department of Automotive EngineeringKookmin UniversitySeoulKorea
  2. 2.Engineering Systems DivisionMassachusetts Institute of TechnologyCambridgeUSA

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