An automated 3D scanning algorithm using depth cameras for door detection

Ting Han Yuan, Fazida Hanim Hashim, Wan Mimi Diyana Wan Zaki, Aqilah Baseri Huddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents an investigation on the characteristics of Microsoft Kinect depth camera for door detection in an indoor environment. Autonomous vehicles usually have to rely on images when navigating indoors due to network limitations of an indoor environment. Locating a door for exit and entryway is one of the problems that need to be tackled when navigating indoors. In this paper, images from a depth camera are captured and used as a tool for detecting doors. The continuously varied ratios and depth differences in the door images have been analysed. An algorithm for door detection was developed using MATLAB. Experiments using different heights and depths of the Kinect sensor have been performed to verify the efficacy of the algorithm for indoor autonomous flying robots like the quadcopter. The algorithm developed is best performed in a clear path of 3.5 meters. The accuracy of the measurement was influenced by the low resolution of the depth images.

Original languageEnglish
Title of host publicationProceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages58-61
Number of pages4
ISBN (Print)9781467393454
DOIs
Publication statusPublished - 12 Jan 2016
Event17th International Electronics Symposium, IES 2015 - Surabaya, Indonesia
Duration: 29 Sep 201530 Sep 2015

Other

Other17th International Electronics Symposium, IES 2015
CountryIndonesia
CitySurabaya
Period29/9/1530/9/15

Fingerprint

Cameras
Scanning
MATLAB
Robots
Sensors
Experiments

Keywords

  • 3D scanning algorithm
  • door detection
  • Kinect depth camera

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Yuan, T. H., Hashim, F. H., Wan Zaki, W. M. D., & Huddin, A. B. (2016). An automated 3D scanning algorithm using depth cameras for door detection. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015 (pp. 58-61). [7380814] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2015.7380814

An automated 3D scanning algorithm using depth cameras for door detection. / Yuan, Ting Han; Hashim, Fazida Hanim; Wan Zaki, Wan Mimi Diyana; Huddin, Aqilah Baseri.

Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 58-61 7380814.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yuan, TH, Hashim, FH, Wan Zaki, WMD & Huddin, AB 2016, An automated 3D scanning algorithm using depth cameras for door detection. in Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015., 7380814, Institute of Electrical and Electronics Engineers Inc., pp. 58-61, 17th International Electronics Symposium, IES 2015, Surabaya, Indonesia, 29/9/15. https://doi.org/10.1109/ELECSYM.2015.7380814
Yuan TH, Hashim FH, Wan Zaki WMD, Huddin AB. An automated 3D scanning algorithm using depth cameras for door detection. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 58-61. 7380814 https://doi.org/10.1109/ELECSYM.2015.7380814
Yuan, Ting Han ; Hashim, Fazida Hanim ; Wan Zaki, Wan Mimi Diyana ; Huddin, Aqilah Baseri. / An automated 3D scanning algorithm using depth cameras for door detection. Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 58-61
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