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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8122490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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