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UAV-Based SLAM and 3D Reconstruction System

  • Tianwei Li*
  • , Steve Hailes
  • , Simon Julier
  • , Ming Liu
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

3D reconstructing a landscape is a prevalent problem that attracts a lot of interest in recent years. This project intended to verify whether the hypothesis of a UAV-based SLAM and 3D reconstruction system is practical. A GPS-Fused SLAM system is built based on ORB-SLAM. Inverse depth is also implemented to make the system suitable for a UAV-based platform. Meanwhile, REMODE is a depth filter and is tested as not being well enough as a dense mapping module. In the end, PMVS is implemented to build a dense map of the environment which produces a reasonable result. The small-scale-scene experiments produce the total error ratio of 5.60% in the x-y plane and 6.59% in the z axis.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Conference on Robotics and Biomimetics
PublisherIEEE
Pages2496-2501
ISBN (Print)9781538637418
DOIs
Publication statusPublished - Dec 2017
Event2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017) - The Parisian Macao, Macao, China
Duration: 5 Dec 20178 Dec 2017
http://2017.ieee-robio.org/

Publication series

NameIEEE International Conference on Robotics and Biomimetics, ROBIO

Conference

Conference2017 IEEE International Conference on Robotics and Biomimetics (IEEE-ROBIO 2017)
PlaceMacao, China
Period5/12/178/12/17
Internet address

Research Keywords

  • GPS
  • PMVS
  • SLAM
  • UAV

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