Literature DB >> 33919209

eHMI: Review and Guidelines for Deployment on Autonomous Vehicles.

Juan Carmona1, Carlos Guindel1, Fernando Garcia1, Arturo de la Escalera1.   

Abstract

Human-machine interaction is an active area of research due to the rapid development of autonomous systems and the need for communication. This review provides further insight into the specific issue of the information flow between pedestrians and automated vehicles by evaluating recent advances in external human-machine interfaces (eHMI), which enable the transmission of state and intent information from the vehicle to the rest of the traffic participants. Recent developments will be explored and studies analyzing their effectiveness based on pedestrian feedback data will be presented and contextualized. As a result, we aim to draw a broad perspective on the current status and recent techniques for eHMI and some guidelines that will encourage future research and development of these systems.

Entities:  

Keywords:  autonomous vehicles; external human–machine interface; human–machine interface; interaction pedestrian–vehicle

Year:  2021        PMID: 33919209     DOI: 10.3390/s21092912

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  An experimental study to investigate design and assessment criteria: What is important for communication between pedestrians and automated vehicles?

Authors:  Claudia Ackermann; Matthias Beggiato; Sarah Schubert; Josef F Krems
Journal:  Appl Ergon       Date:  2018-11-20       Impact factor: 3.661

2.  From 'automation' to 'autonomy': the importance of trust repair in human-machine interaction.

Authors:  Ewart J de Visser; Richard Pak; Tyler H Shaw
Journal:  Ergonomics       Date:  2018-04-09       Impact factor: 2.778

3.  External Human-Machine Interfaces on Automated Vehicles: Effects on Pedestrian Crossing Decisions.

Authors:  Koen de Clercq; Andre Dietrich; Juan Pablo Núñez Velasco; Joost de Winter; Riender Happee
Journal:  Hum Factors       Date:  2019-03-26       Impact factor: 2.888

  3 in total

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