Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments

Ying Chen; John Sarik; Hazer Inaltekin; Maria Gorlatova

doi:10.1109/INFOCOMWKSHPS57453.2023.10226078

Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments

Ying Chen
, John Sarik
, Hazer Inaltekin
, Maria Gorlatova

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The performance of simultaneous localization and mapping (SLAM) systems is impacted by the constrained computation capabilities of mobile devices. Given that the advancement of these systems relies on accurate evaluation of SLAM performance, this issue is exacerbated by the difficulty in evaluating SLAM performance in practice, due to the unavailability of ground truth data. In this demo, we present SpacecraftWalk, a resource-efficient SLAM framework that constructs maps (of the environments) with minimal uncertainty under resource budgets. SpacecraftWalk is evaluated within virtual spacecraft environments (meeting NASA lighting standards) in game engine-based emulators that generate ground truth automatically. Demo participants will navigate in virtual environments while creating their own moving trajectories for evaluating SLAM. They will develop an intuition for how uncertainty-based map construction improves resource efficiency. This demonstration accompanies [1].

Original language	English (US)
Title of host publication	IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665494274
DOIs	https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10226078
State	Published - 2023
Event	2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States Duration: May 20 2023 → May 20 2023

Publication series

Name	IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

Conference

Conference	2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Country/Territory	United States
City	Hoboken
Period	5/20/23 → 5/20/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 12 Responsible Consumption and Production

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Signal Processing
Safety, Risk, Reliability and Quality

Access to Document

10.1109/INFOCOMWKSHPS57453.2023.10226078

Cite this

Chen, Y., Sarik, J., Inaltekin, H., & Gorlatova, M. (2023). Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. In IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 (IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10226078

Chen, Ying ; Sarik, John ; Inaltekin, Hazer et al. / Demo Abstract : Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023).

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title = "Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments",

abstract = "The performance of simultaneous localization and mapping (SLAM) systems is impacted by the constrained computation capabilities of mobile devices. Given that the advancement of these systems relies on accurate evaluation of SLAM performance, this issue is exacerbated by the difficulty in evaluating SLAM performance in practice, due to the unavailability of ground truth data. In this demo, we present SpacecraftWalk, a resource-efficient SLAM framework that constructs maps (of the environments) with minimal uncertainty under resource budgets. SpacecraftWalk is evaluated within virtual spacecraft environments (meeting NASA lighting standards) in game engine-based emulators that generate ground truth automatically. Demo participants will navigate in virtual environments while creating their own moving trajectories for evaluating SLAM. They will develop an intuition for how uncertainty-based map construction improves resource efficiency. This demonstration accompanies [1].",

author = "Ying Chen and John Sarik and Hazer Inaltekin and Maria Gorlatova",

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year = "2023",

doi = "10.1109/INFOCOMWKSHPS57453.2023.10226078",

language = "English (US)",

series = "IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023",

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

booktitle = "IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023",

address = "United States",

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Chen, Y, Sarik, J, Inaltekin, H & Gorlatova, M 2023, Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. in IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023. IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023, Hoboken, United States, 5/20/23. https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10226078

Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. / Chen, Ying; Sarik, John; Inaltekin, Hazer et al.
IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Demo Abstract

T2 - 2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

AU - Chen, Ying

AU - Sarik, John

AU - Inaltekin, Hazer

AU - Gorlatova, Maria

PY - 2023

Y1 - 2023

N2 - The performance of simultaneous localization and mapping (SLAM) systems is impacted by the constrained computation capabilities of mobile devices. Given that the advancement of these systems relies on accurate evaluation of SLAM performance, this issue is exacerbated by the difficulty in evaluating SLAM performance in practice, due to the unavailability of ground truth data. In this demo, we present SpacecraftWalk, a resource-efficient SLAM framework that constructs maps (of the environments) with minimal uncertainty under resource budgets. SpacecraftWalk is evaluated within virtual spacecraft environments (meeting NASA lighting standards) in game engine-based emulators that generate ground truth automatically. Demo participants will navigate in virtual environments while creating their own moving trajectories for evaluating SLAM. They will develop an intuition for how uncertainty-based map construction improves resource efficiency. This demonstration accompanies [1].

AB - The performance of simultaneous localization and mapping (SLAM) systems is impacted by the constrained computation capabilities of mobile devices. Given that the advancement of these systems relies on accurate evaluation of SLAM performance, this issue is exacerbated by the difficulty in evaluating SLAM performance in practice, due to the unavailability of ground truth data. In this demo, we present SpacecraftWalk, a resource-efficient SLAM framework that constructs maps (of the environments) with minimal uncertainty under resource budgets. SpacecraftWalk is evaluated within virtual spacecraft environments (meeting NASA lighting standards) in game engine-based emulators that generate ground truth automatically. Demo participants will navigate in virtual environments while creating their own moving trajectories for evaluating SLAM. They will develop an intuition for how uncertainty-based map construction improves resource efficiency. This demonstration accompanies [1].

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M3 - Conference contribution

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T3 - IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

BT - IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

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Chen Y, Sarik J, Inaltekin H, Gorlatova M. Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments. In IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (IEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023). doi: 10.1109/INFOCOMWKSHPS57453.2023.10226078

Demo Abstract: Demonstrating Resource-Efficient SLAM in Virtual Spacecraft Environments

Abstract

Publication series

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UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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