Mitigating driver’s distraction: automotive head-up display and gesture recognition system

Research output: Contribution to journalArticle

Published

Documents

  • Lagoo, R. & Charissis, V. (2019) Mitigating driver’s distraction: automotive head-up display and gesture recognition system

    Rights statement: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. This is the a post-peer review, pre-copy edited version of the article published in IEEE Consumer Electronics Magazine and may differ slightly from the final published version of the work. This work is made available in line with the publisher policy.

    Accepted author manuscript, 393 KB, PDF-document

DOI

View graph of relations

Original languageEnglish
Pages (from-to)79-85
Number of pages7
JournalIEEE Consumer Electronics Magazine
Volume8
DOIs
StatePublished - 1 Sep 2019

Abstract

Dashboards in modern vehicular interiors, accommodate multiple infotainment systems that allow continuous flow of non-essential information in order to maintain driver connectivity. This results in distraction of the driver’s attention from the primary task of driving, leading to a higher probability of collisions. This paper presents a novel Head-Up Display (HUD) system which utilizes gesture recognition for direct manipulation of the visual interface. The HUD is evaluated in contrast to a typical Head-Down Display (HDD) system by 20 users in a high-fidelity Virtual Reality driving simulator. The preliminary results from a rear collision simulation scenario indicate a reduction in collision occurrences of 45% with the use of HUD. The paper overall presents the system design challenges and user evaluation results.

Keywords

  • head up display, human computer interaction, human machine interaction, virtual reality, augmented reality, gesture recognition, collision avoidance, collision reduction, automotive engineering, driving simulation, driving patterns, consumer electronics