Maintaining Driving Skills in Autonomous Vehicles

SCHEME: CORE

CALL: 2014

DOMAIN: IS - Telecommunication and Multimedia

FIRST NAME: Thomas

LAST NAME: Engel

INDUSTRY PARTNERSHIP / PPP: No

INDUSTRY / PPP PARTNER:

HOST INSTITUTION: University of Luxembourg

KEYWORDS: autonomous vehicles, semi-autonomous vehicles, driver profiling, user interfaces, human-computer interaction, algorithms, safety, driver modeling, skills

START: 2015-04-01

END: 2018-03-31

WEBSITE: https://www.uni.lu

Submitted Abstract

Semi-Autonomous Vehicles present a major challenge for drivers, namely the risk that their driving skills will decline. This problem is further compounded by the fact that while the number of semi-autonomous vehicles will increase there will for the forseable future still remain a large number of vehicles with no or little autonomous control. This combination of the decline in driving skills plus the complicated mix of vehicles on the road will raise a number of safety challenges. For example, drivers of semi-autonomous vehicles may be forced to take control under certain circumstances but may not possess the skills which would enable them to react quickly enough or to take the right decision. Also they will not be able to rely on other vehicles taking the right course of action. As a result there needs to be methods employed which can encourage people to maintain their driving skills which are turned to the needs of particular drivers. This project will specifically explore how to profile driver performance and the development of tools which will focus on safe driving within semi-autonomous vehicles.

This site uses cookies. By continuing to use this site, you agree to the use of cookies for analytics purposes. Find out more in our Privacy Statement