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eHMI: Review and Guidelines for Deployment on Autonomous Vehicles

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...

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Detalles Bibliográficos
Autores principales: Carmona, Juan, Guindel, Carlos, Garcia, Fernando, de la Escalera, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122490/
https://www.ncbi.nlm.nih.gov/pubmed/33919209
http://dx.doi.org/10.3390/s21092912
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author Carmona, Juan
Guindel, Carlos
Garcia, Fernando
de la Escalera, Arturo
author_facet Carmona, Juan
Guindel, Carlos
Garcia, Fernando
de la Escalera, Arturo
author_sort Carmona, Juan
collection PubMed
description 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.
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spelling pubmed-81224902021-05-16 eHMI: Review and Guidelines for Deployment on Autonomous Vehicles Carmona, Juan Guindel, Carlos Garcia, Fernando de la Escalera, Arturo Sensors (Basel) Review 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. MDPI 2021-04-21 /pmc/articles/PMC8122490/ /pubmed/33919209 http://dx.doi.org/10.3390/s21092912 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Carmona, Juan
Guindel, Carlos
Garcia, Fernando
de la Escalera, Arturo
eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title_full eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title_fullStr eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title_full_unstemmed eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title_short eHMI: Review and Guidelines for Deployment on Autonomous Vehicles
title_sort ehmi: review and guidelines for deployment on autonomous vehicles
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122490/
https://www.ncbi.nlm.nih.gov/pubmed/33919209
http://dx.doi.org/10.3390/s21092912
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