Literature DB >> 29277383

Gaze position modulates the effectiveness of forward collision warnings for drowsy drivers.

John G Gaspar1, Chris W Schwarz2, Timothy L Brown1, Julie Kang3.   

Abstract

Advanced driver assistance systems (ADAS) have the potential to prevent crashes and reduce their severity. Forward collision warnings (FCW) are quickly becoming standard across vehicle lineups and may prevent frontal crashes by alerting drivers. Previous research has demonstrated the effectiveness of FCW for distracted drivers, but their effectiveness for other types of impairment remains unknown. Like distraction, drowsiness can impair driver response time and lead to crashes. The goal of the present study was to evaluate the effectiveness of FCW for moderately and severely drowsy drivers using a high-fidelity driving simulator. Drowsy drivers were divided into three warning conditions during a revealed stop vehicle forward collision event: An auditory alert, a haptic seat vibration, and a no warning baseline. Results indicate that FCW were effective at speeding drowsy driver response, but only when the drowsy drivers were looking away from the forward roadway at the onset of the event. These results have important implications for ADAS technology and driver state monitoring systems.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Keywords:  Advanced driver assistance systems; Driving; Drowsiness; Forward collision warning

Mesh:

Year:  2017        PMID: 29277383     DOI: 10.1016/j.aap.2017.12.014

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  1 in total

1.  WiFi-Based Driver's Activity Monitoring with Efficient Computation of Radio-Image Features.

Authors:  Zain Ul Abiden Akhtar; Hongyu Wang
Journal:  Sensors (Basel)       Date:  2020-03-03       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.