Visualising Collision Spot Uncertainty with Augmented Reality

Vinu Kamalasanan; Stefan Fuest; Olga Shkedova; Monika Sester

doi:10.1109/VRW66409.2025.00072

Visualising Collision Spot Uncertainty with Augmented Reality

Vinu Kamalasanan^*
, Stefan Fuest
, Olga Shkedova
, Monika Sester

^*Corresponding author for this work

Institute of Cartography and Geoinformatics

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

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.

Original language	English
Title of host publication	2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	310-312
Number of pages	3
ISBN (Electronic)	9798331514846
ISBN (Print)	979-8-3315-2563-7
DOIs	https://doi.org/10.1109/VRW66409.2025.00072
Publication status	Published - 8 Mar 2025
Event	2025 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025 - Saint-Malo, France Duration: 8 Mar 2025 → 12 Mar 2025

Conference

Conference	2025 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025
Abbreviated title	IEEE VR 2025
Country/Territory	France
City	Saint-Malo
Period	8 Mar 2025 → 12 Mar 2025

Keywords

collision avoidance
interaction
path prediction
walking behaviours

ASJC Scopus subject areas

Media Technology
Computer Graphics and Computer-Aided Design
Computer Science Applications
Human-Computer Interaction

Access to Document

10.1109/VRW66409.2025.00072

Cite this

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title = "Visualising Collision Spot Uncertainty with Augmented Reality",

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.",

keywords = "collision avoidance, interaction, path prediction, walking behaviours",

author = "Vinu Kamalasanan and Stefan Fuest and Olga Shkedova and Monika Sester",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025, IEEE VR 2025 ; Conference date: 08-03-2025 Through 12-03-2025",

year = "2025",

month = mar,

day = "8",

doi = "10.1109/VRW66409.2025.00072",

language = "English",

isbn = "979-8-3315-2563-7",

pages = "310--312",

booktitle = "2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Kamalasanan, V, Fuest, S, Shkedova, O & Sester, M 2025, Visualising Collision Spot Uncertainty with Augmented Reality. in 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Institute of Electrical and Electronics Engineers Inc., pp. 310-312, 2025 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025, Saint-Malo, France, 8 Mar 2025. https://doi.org/10.1109/VRW66409.2025.00072

Visualising Collision Spot Uncertainty with Augmented Reality. / Kamalasanan, Vinu; Fuest, Stefan; Shkedova, Olga et al.
2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). Institute of Electrical and Electronics Engineers Inc., 2025. p. 310-312.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

TY - GEN

T1 - Visualising Collision Spot Uncertainty with Augmented Reality

AU - Kamalasanan, Vinu

AU - Fuest, Stefan

AU - Shkedova, Olga

AU - Sester, Monika

PY - 2025/3/8

Y1 - 2025/3/8

N2 - 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.

AB - 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.

KW - collision avoidance

KW - interaction

KW - path prediction

KW - walking behaviours

UR - https://www.scopus.com/pages/publications/105005139228

U2 - 10.1109/VRW66409.2025.00072

DO - 10.1109/VRW66409.2025.00072

M3 - Conference contribution

AN - SCOPUS:105005139228

SN - 979-8-3315-2563-7

SP - 310

EP - 312

BT - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2025

Y2 - 8 March 2025 through 12 March 2025

ER -

Visualising Collision Spot Uncertainty with Augmented Reality

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this