Evaluating Visual Communication Interfaces Between Pedestrians and Autonomous Vehicles Using Virtual Reality Experiments

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F24%3A00381145" target="_blank" >RIV/68407700:21260/24:00381145 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21730/24:00381145

Výsledek na webu

<a href="https://doi.org/10.14311/NNW.2024.34.015" target="_blank" >https://doi.org/10.14311/NNW.2024.34.015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14311/NNW.2024.34.015" target="_blank" >10.14311/NNW.2024.34.015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating Visual Communication Interfaces Between Pedestrians and Autonomous Vehicles Using Virtual Reality Experiments

Popis výsledku v původním jazyce

This study explores the development and evaluation of external human-machine interfaces (eHMI) for communication between autonomous vehicles (AVs) and pedestrians. By employing advanced virtual reality (VR) simulations and leveraging behavioral data from 600 survey respondents, the research examines the intelligibility and effectiveness of seven eHMI prototypes. The experiments utilized eye-tracking and spatial analysis to measure pedestrian response to AV signals in realistic virtual environments. The findings emphasize the potential of LED strip-based communication interfaces, demonstrating their superiority in terms of visibility, clarity, and implementation cost. This research contributes to the broader field of artificial intelligence applications in transportation, with a focus on ensuring safety and trust in autonomous systems interacting with vulnerable road users.

Název v anglickém jazyce

Evaluating Visual Communication Interfaces Between Pedestrians and Autonomous Vehicles Using Virtual Reality Experiments

Popis výsledku anglicky

This study explores the development and evaluation of external human-machine interfaces (eHMI) for communication between autonomous vehicles (AVs) and pedestrians. By employing advanced virtual reality (VR) simulations and leveraging behavioral data from 600 survey respondents, the research examines the intelligibility and effectiveness of seven eHMI prototypes. The experiments utilized eye-tracking and spatial analysis to measure pedestrian response to AV signals in realistic virtual environments. The findings emphasize the potential of LED strip-based communication interfaces, demonstrating their superiority in terms of visibility, clarity, and implementation cost. This research contributes to the broader field of artificial intelligence applications in transportation, with a focus on ensuring safety and trust in autonomous systems interacting with vulnerable road users.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Neural Network World

ISSN

1210-0552

e-ISSN

2336-4335

Svazek periodika

34

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

13

Strana od-do

279-291

Kód UT WoS článku

001419837000001

EID výsledku v databázi Scopus

2-s2.0-105000140139