Towards future pedestrian-vehicle interactions

Introducing theoretically-supported AR prototypes

Conference paper (2021)

Authors

W. Tabone Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
Yee Mun Lee University of Leeds
Natasha Merat University of Leeds
R. Happee Intelligent Vehicles - Mechanical, Maritime and Materials Engineering
J.C.F. de Winter Human-Robot Interaction - Mechanical, Maritime and Materials Engineering
Research Group
Human-Robot Interaction (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2021 W. Tabone, Yee Mun Lee, Natasha Merat, R. Happee, J.C.F. de Winter
DOI: https://doi.org/10.1145/3409118.3475149
More Info
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Published Date

2021

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Cognitive Robotics

Research Group

Human-Robot Interaction

Abstract

The future urban environment may consist of mixed traffic in which pedestrians interact with automated vehicles (AVs). However, it is still unclear how AVs should communicate their intentions to pedestrians. Augmented reality (AR) technology could transform the future of interactions between pedestrians and AVs by offering targeted and individualized communication. This paper presents nine prototypes of AR concepts for pedestrian-AV interaction that are implemented and demonstrated in a real crossing environment. Each concept was based on expert perspectives and designed using theoretically-informed brainstorming sessions. Prototypes were implemented in Unity MARS and subsequently tested on an unmarked road using a standalone iPad Pro with LiDAR functionality. Despite the limitations of the technology, this paper offers an indication of how future AR systems may support future pedestrian-AV interactions.

Marie Skłodowska-Curie Actions; Innovative Training Networks (ITN); SHAPE-IT; Grant number 860410

Publication date: 20 September 2021

DOI: 10.1145/3409118.3475149