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A Quantitative Analysis of System Bottlenecks in Visual SLAM

  • SUNY Buffalo
  • Simon Fraser University
  • State University of New York Binghamton University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Visual SLAM systems are concurrent, performance-critical systems that respond to real-time environmental conditions and are frequently deployed on resource-constrained hardware. Previous SLAM frameworks have primarily focused on algorithmic advances and their systems core has largely remained unchanged. In turn, SLAM systems suffer from performance problems that could be alleviated with improved systems design. In this paper, we present a quantitative analysis of the systems challenges to building consistent, accurate, and robust SLAM systems in the face of concurrency, variable environmental conditions, and resource-constrained hardware. We identify three interconnected challenges on systems design - - timeliness, concurrency, and context awareness - - and clarify their effects on performance.

Original languageEnglish
Title of host publicationHotMobile 2022 - Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications
PublisherAssociation for Computing Machinery, Inc
Pages74-80
Number of pages7
ISBN (Electronic)9781450392181
DOIs
StatePublished - Mar 9 2022
Event23rd Annual International Workshop on Mobile Computing Systems and Applications, HotMobile 2022 - Virtual, Online, United States
Duration: Mar 9 2022Mar 10 2022

Publication series

NameHotMobile 2022 - Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications

Conference

Conference23rd Annual International Workshop on Mobile Computing Systems and Applications, HotMobile 2022
Country/TerritoryUnited States
CityVirtual, Online
Period03/9/2203/10/22

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