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Improving Pedestrian Safety around Autonomous Delivery Robots in Real Environment with Augmented Reality

Madoka Inoue, Kensuke Koda, Kelvin Cheng, Toshimasa Yamanaka, Soh Masuko

Year
2022
Citations
5

Abstract

In recent years, the use of autonomous vehicles and autonomous delivery robots (ADR) has increased. This paper explores how pedestrian safety around moving ADRs can be improved. To reduce pedestrian anxiety, we proposed the display of various real-time information from the ADR in Augmented Reality (AR). A preliminary experiment was conducted in an outdoor environment where an ADR was running, within a 5G network. We found AR has a positive effect in alleviating user anxiety around the ADR.

Keywords

PedestrianAugmented realityRobotComputer scienceHuman–computer interactionAnxietySimulationEngineeringTransport engineeringArtificial intelligence

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