Visualizing Time-Dependent Navigation Zones in Mixed Reality

Tim Waechter; Matthias Koenig; Krzysztof Tarasiuk

doi:10.1145/3756884.3770543

Visualizing Time-Dependent Navigation Zones in Mixed Reality

Tim Waechter^*
, Matthias Koenig
, Krzysztof Tarasiuk

^*Kontaktforfatter

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

Abstract

Using Mixed Reality (MR) to plan the motion of robots, for example the path of a drone, is an effective way to optimize their movements in a collaborative working environments. Path planning using MR allows for the incorporation of motion constraints arising from real-world obstacles, virtual objects, and time scheduling considerations.We address time-dependent path planning of a drone in a three-dimensional dynamic indoor environment using MR. We evaluate visualization methods which convey the planned path of the drone and which show time-dependent safety zones around real and virtual obstacles. Our results with 51 participants show the effectiveness of the visualization to support interactive path planning tasks. The contribution of our research is a novel MR visualization method for three-dimensional and time-dependent (4D) path planning.

Originalsprog	Engelsk
Titel	VRST '25 : Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology
Redaktører	Anil 2Batmaz, Mayra Barrera Machuca, Francisco Ortega, Daniel Zielasko, Kangsoo Kim, Rick Skarbez, Lucas Plabst, Amy Banić, Mine Stroppa
Antal sider	2
Forlag	Association for Computing Machinery
Publikationsdato	2025
Artikelnummer	99
ISBN (Trykt)	979-8-4007-2118-2
DOI	https://doi.org/10.1145/3756884.3770543
Status	Udgivet - 2025
Begivenhed	VRST '25: 31st ACM Symposium on Virtual Reality Software and Technology - Montreal, Canada Varighed: 12. nov. 2025 → 14. nov. 2025

Konference

Konference	VRST '25
Land/Område	Canada
By	Montreal
Periode	12/11/2025 → 14/11/2025

Emneord

Mixed Reality
Augmented Reality
Human-Robot Interaction
Visualization
Indoor Drone Navigation

Dokumenter og links

10.1145/3756884.3770543

SDU link

Tjek adgangen til materialet i Syddansk Universitetsbiblioteks søgemaskine

Citationsformater

Waechter, T., Koenig, M., & Tarasiuk, K. (2025). Visualizing Time-Dependent Navigation Zones in Mixed Reality. I A. 2Batmaz, M. Barrera Machuca, F. Ortega, D. Zielasko, K. Kim, R. Skarbez, L. Plabst, A. Banić, & M. Stroppa (red.), VRST '25: Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology Artikel 99 Association for Computing Machinery. https://doi.org/10.1145/3756884.3770543

Waechter, Tim ; Koenig, Matthias ; Tarasiuk, Krzysztof. / Visualizing Time-Dependent Navigation Zones in Mixed Reality. VRST '25: Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology. red. / Anil 2Batmaz ; Mayra Barrera Machuca, ; Francisco Ortega ; Daniel Zielasko ; Kangsoo Kim ; Rick Skarbez ; Lucas Plabst ; Amy Banić ; Mine Stroppa. Association for Computing Machinery, 2025.

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title = "Visualizing Time-Dependent Navigation Zones in Mixed Reality",

abstract = "Using Mixed Reality (MR) to plan the motion of robots, for example the path of a drone, is an effective way to optimize their movements in a collaborative working environments. Path planning using MR allows for the incorporation of motion constraints arising from real-world obstacles, virtual objects, and time scheduling considerations.We address time-dependent path planning of a drone in a three-dimensional dynamic indoor environment using MR. We evaluate visualization methods which convey the planned path of the drone and which show time-dependent safety zones around real and virtual obstacles. Our results with 51 participants show the effectiveness of the visualization to support interactive path planning tasks. The contribution of our research is a novel MR visualization method for three-dimensional and time-dependent (4D) path planning.",

keywords = "Mixed Reality, Augmented Reality, Human-Robot Interaction, Visualization, Indoor Drone Navigation",

author = "Tim Waechter and Matthias Koenig and Krzysztof Tarasiuk",

year = "2025",

doi = "10.1145/3756884.3770543",

language = "English",

isbn = "979-8-4007-2118-2",

editor = "Anil 2Batmaz and \{Barrera Machuca,\}, Mayra and Francisco Ortega and Daniel Zielasko and Kangsoo Kim and Rick Skarbez and Lucas Plabst and Amy Bani{\'c} and Mine Stroppa",

booktitle = "VRST '25",

publisher = "Association for Computing Machinery",

address = "United States",

note = "VRST '25 : 31st ACM Symposium on Virtual Reality Software and Technology ; Conference date: 12-11-2025 Through 14-11-2025",

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Waechter, T , Koenig, M & Tarasiuk, K 2025, Visualizing Time-Dependent Navigation Zones in Mixed Reality. i A 2Batmaz, M Barrera Machuca, F Ortega, D Zielasko, K Kim, R Skarbez, L Plabst, A Banić & M Stroppa (red), VRST '25: Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology., 99, Association for Computing Machinery, VRST '25, Montreal, Quebec, Canada, 12/11/2025. https://doi.org/10.1145/3756884.3770543

Visualizing Time-Dependent Navigation Zones in Mixed Reality. / Waechter, Tim ; Koenig, Matthias; Tarasiuk, Krzysztof.
VRST '25: Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology. red. / Anil 2Batmaz; Mayra Barrera Machuca,; Francisco Ortega; Daniel Zielasko; Kangsoo Kim; Rick Skarbez; Lucas Plabst; Amy Banić; Mine Stroppa. Association for Computing Machinery, 2025. 99.

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Visualizing Time-Dependent Navigation Zones in Mixed Reality

AU - Waechter, Tim

AU - Koenig, Matthias

AU - Tarasiuk, Krzysztof

PY - 2025

Y1 - 2025

N2 - Using Mixed Reality (MR) to plan the motion of robots, for example the path of a drone, is an effective way to optimize their movements in a collaborative working environments. Path planning using MR allows for the incorporation of motion constraints arising from real-world obstacles, virtual objects, and time scheduling considerations.We address time-dependent path planning of a drone in a three-dimensional dynamic indoor environment using MR. We evaluate visualization methods which convey the planned path of the drone and which show time-dependent safety zones around real and virtual obstacles. Our results with 51 participants show the effectiveness of the visualization to support interactive path planning tasks. The contribution of our research is a novel MR visualization method for three-dimensional and time-dependent (4D) path planning.

AB - Using Mixed Reality (MR) to plan the motion of robots, for example the path of a drone, is an effective way to optimize their movements in a collaborative working environments. Path planning using MR allows for the incorporation of motion constraints arising from real-world obstacles, virtual objects, and time scheduling considerations.We address time-dependent path planning of a drone in a three-dimensional dynamic indoor environment using MR. We evaluate visualization methods which convey the planned path of the drone and which show time-dependent safety zones around real and virtual obstacles. Our results with 51 participants show the effectiveness of the visualization to support interactive path planning tasks. The contribution of our research is a novel MR visualization method for three-dimensional and time-dependent (4D) path planning.

KW - Mixed Reality

KW - Augmented Reality

KW - Human-Robot Interaction

KW - Visualization

KW - Indoor Drone Navigation

U2 - 10.1145/3756884.3770543

DO - 10.1145/3756884.3770543

M3 - Article in proceedings

SN - 979-8-4007-2118-2

BT - VRST '25

A2 - 2Batmaz, Anil

A2 - Barrera Machuca,, Mayra

A2 - Ortega, Francisco

A2 - Zielasko, Daniel

A2 - Kim, Kangsoo

A2 - Skarbez, Rick

A2 - Plabst, Lucas

A2 - Banić, Amy

A2 - Stroppa, Mine

PB - Association for Computing Machinery

T2 - VRST '25

Y2 - 12 November 2025 through 14 November 2025

ER -

Waechter T , Koenig M, Tarasiuk K. Visualizing Time-Dependent Navigation Zones in Mixed Reality. I 2Batmaz A, Barrera Machuca, M, Ortega F, Zielasko D, Kim K, Skarbez R, Plabst L, Banić A, Stroppa M, red., VRST '25: Proceedings of the 2025 31st ACM Symposium on Virtual Reality Software and Technology. Association for Computing Machinery. 2025. 99 doi: 10.1145/3756884.3770543

Visualizing Time-Dependent Navigation Zones in Mixed Reality

Abstract

Konference

Emneord

Dokumenter og links

SDU link

Fingeraftryk

Citationsformater