Optimization of multiple sensor data pipeline for real-time 3D terrain reconstruction

Seoungjae Cho, Seongjo Lee, Kyhyun Um, Kyungeun Cho, Sungdae Sim, Yong Woon Park

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

Abstract

Remote-control technology is required in an unmanned vehicle such that it can replace humans for executing tasks in various extreme environments. In particular, a remote scene must be reconstructed using 3D meshes for enabling a user to remotely control an unmanned vehicle easily and intuitively. To this end, a large amount of multiple sensor data would be processed using various algorithms in real time. Considering the limited hardware specifications in extreme environments, it is difficult to implement 3D terrain reconstruction in high-quality and real time. This paper proposes the optimization of the architecture of a multiple-sensor-data pipeline. The improved performance resulting from the optimized architecture was analyzed through experimental comparison with a non-optimized system.

Original languageEnglish
Title of host publicationICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages680-683
Number of pages4
ISBN (Electronic)9788993215090
DOIs
StatePublished - 23 Dec 2015
Event15th International Conference on Control, Automation and Systems, ICCAS 2015 - Busan, Korea, Republic of
Duration: 13 Oct 201516 Oct 2015

Publication series

NameICCAS 2015 - 2015 15th International Conference on Control, Automation and Systems, Proceedings

Conference

Conference15th International Conference on Control, Automation and Systems, ICCAS 2015
Country/TerritoryKorea, Republic of
CityBusan
Period13/10/1516/10/15

Keywords

  • 3D terrain reconstruction
  • data-pipeline optimization
  • Remote control

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