Citation:
Carmona, J., Guindel, C., Garcia, F., & de la Escalera, A. (2021). eHMI: Review and Guidelines for Deployment on Autonomous Vehicles. Sensors, 21(9), 2912.
xmlui.dri2xhtml.METS-1.0.item-contributor-funder:
Comunidad de Madrid Ministerio de Economía y Competitividad (España) Agencia Estatal de Investigación (España) Universidad Carlos III de Madrid
Project:
Gobierno de España. RTI2018-096036-B-C21 Gobierno de España. TRA2016-78886-C3-1R Gobierno de España. PID2019-104793RB-C31 Universidad Carlos III de Madrid. PEAVAUTO-CM-UC3M Comunidad de Madrid. SEGVAUTO-4.0-CM P2018/EMT-4362
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 veHuman-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.[+][-]