Towards future pedestrian-vehicle interactions
Introducing theoretically-supported AR prototypes
W. Tabone (TU Delft - Human-Robot Interaction)
Y. M. Lee (University of Leeds)
Natasha Merat (University of Leeds)
Riender Happee (TU Delft - Intelligent Vehicles)
Joost C F Winter (TU Delft - Human-Robot Interaction)
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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
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