Literature DB >> 32690975

The Challenges of Partially Automated Driving.

Stephen M Casner1, Edwin L Hutchins2, Don Norman3.   

Abstract

AUTONOMOUS CARS PROMISE to give us back the time we spend in traffic, improve the flow of traffic, reduce accidents, deaths, and injuries, and make personal car travel possible for everyone regardless of their abilities or condition. But despite impressive demonstrations and technical advances, many obstacles remain on the road to fully autonomous cars.20 Overcoming the challenges to enabling autonomous cars to safely operate in highly complex driving situations may take some time. Manufacturers already produce partially automated cars, and a spirited competition to deliver the most sophisticated ones is under way. Cars that provide high levels of automation in some circumstances (such as highway driving) have already arrived in the marketplace and promise to be in the hands of a large number of car owners in the next few years.

Entities:  

Year:  2016        PMID: 32690975      PMCID: PMC7370972          DOI: 10.1145/2830565

Source DB:  PubMed          Journal:  Commun ACM        ISSN: 0001-0782            Impact factor:   4.654


  23 in total

1.  Driving with the wandering mind: the effect that mind-wandering has on driving performance.

Authors:  Matthew R Yanko; Thomas M Spalek
Journal:  Hum Factors       Date:  2014-03       Impact factor: 2.888

2.  Driver behaviour with adaptive cruise control.

Authors:  Neville A Stanton; Mark S Young
Journal:  Ergonomics       Date:  2005-08-15       Impact factor: 2.778

3.  Back to the future: brake reaction times for manual and automated vehicles.

Authors:  Mark S Young; Neville A Stanton
Journal:  Ergonomics       Date:  2007-01-15       Impact factor: 2.778

4.  Effects of single versus multiple warnings on driver performance.

Authors:  M L Cummings; Ryan M Kilgore; Enlie Wang; Louis Tijerina; Dev S Kochhar
Journal:  Hum Factors       Date:  2007-12       Impact factor: 2.888

5.  The effectiveness of airline pilot training for abnormal events.

Authors:  Stephen M Casner; Richard W Geven; Kent T Williams
Journal:  Hum Factors       Date:  2013-06       Impact factor: 2.888

6.  Background music as a risk factor for distraction among young-novice drivers.

Authors:  Warren Brodsky; Zack Slor
Journal:  Accid Anal Prev       Date:  2013-07-02

7.  Design and evaluation of steering protection for avoiding collisions during a lane change.

Authors:  Makoto Itoh; Toshiyuki Inagaki
Journal:  Ergonomics       Date:  2013-11-08       Impact factor: 2.778

8.  Control task substitution in semiautomated driving: does it matter what aspects are automated?

Authors:  Oliver Carsten; Frank C H Lai; Yvonne Barnard; A Hamish Jamson; Natasha Merat
Journal:  Hum Factors       Date:  2012-10       Impact factor: 2.888

9.  The 'problem' with automation: inappropriate feedback and interaction, not 'over-automation'.

Authors:  D A Norman
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1990-04-12       Impact factor: 6.237

10.  I Am a Better Driver Than You Think: Examining Self-Enhancement for Driving Ability.

Authors:  Michael M Roy; Michael J Liersch
Journal:  J Appl Soc Psychol       Date:  2013-08-01
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  3 in total

1.  Adaptive automation: automatically (dis)engaging automation during visually distracted driving.

Authors:  Christopher D D Cabrall; Nico M Janssen; Joost C F de Winter
Journal:  PeerJ Comput Sci       Date:  2018-10-01

Review 2.  Vulnerable Road Users and Connected Autonomous Vehicles Interaction: A Survey.

Authors:  Angélica Reyes-Muñoz; Juan Guerrero-Ibáñez
Journal:  Sensors (Basel)       Date:  2022-06-18       Impact factor: 3.847

3.  Drivers of partially automated vehicles are blamed for crashes that they cannot reasonably avoid.

Authors:  Niek Beckers; Luciano Cavalcante Siebert; Merijn Bruijnes; Catholijn Jonker; David Abbink
Journal:  Sci Rep       Date:  2022-09-28       Impact factor: 4.996

  3 in total

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