Visualising Collision Spot Uncertainty with Augmented Reality

When trying to avoid collision in a scene with other persons, one makes an initial guess of a location where the conflict might happen before choosing paths. Then the estimated conflict spot serves as a deciding factor in choosing a safe trajectory to avoid the intruder. However, the predicted collision point is subject to one’s estimate of the other person’s future movement. The prediction is linked to guess made with a degree of uncertainty. In this paper, we summarize on how we use AR visualizations to symbolize different levels of uncertainty of predicted collision spots to study path choice influences

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Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00072
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Visualising Collision Spot Uncertainty with Augmented Reality

Vinu Kamalasanan, Monika Sester, Stefan Fuest, Olga Shkedova
Human-Automation Interaction and Safety
article

Visualising Collision Spot Uncertainty with Augmented Reality

Vinu Kamalasanan, Monika Sester, Stefan Fuest, Olga Shkedova
article en

Abstract

When trying to avoid collision in a scene with other persons, one makes an initial guess of a location where the conflict might happen before choosing paths. Then the estimated conflict spot serves as a deciding factor in choosing a safe trajectory to avoid the intruder. However, the predicted collision point is subject to one’s estimate of the other person’s future movement. The prediction is linked to guess made with a degree of uncertainty. In this paper, we summarize on how we use AR visualizations to symbolize different levels of uncertainty of predicted collision spots to study path choice influences

Leibniz University Hannover (DE)
Climate action
Openalex Percentile: Top 91%
Human-Automation Interaction and Safety
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