Evaluation of ORB-SLAM based Stereo Vision for the Aircraft Landing Status Detection

Chao Chung Peng, Rong He, Chin Sheng Chuang

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

1 Citation (Scopus)

Abstract

When encountering emergency conditions, the pilot may lose the help from the modern navigation systems and be forced to perceive the surrounding environment only through vision, which means the safety of manual landing depends heavily on human factors. To provide the pilot with additional information about the status of the aircraft, helping increase the safety during the landing procedure, ORB-SLAM2, a state-of-the-art SLAM algorithm, is used in this paper to estimate the 6DoF localization of the aircraft. To evaluate the performance for aircraft landing, this work used Unreal Engine to generate the simulation runway scene with built-in stereo cameras. The results show that for the landing scenario, ORB-SLAM2 can provide the pilot with an alarm message when the descending speed or the glide angle of the aircraft is inappropriate. Also, as a lightweight, real-time, and stand-alone features, ORB-SLAM2 could be easily applied to other smart and capability-limited unmanned aerial vehicles.

Original languageEnglish
Title of host publicationIECON 2022 - 48th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9781665480253
DOIs
Publication statusPublished - 2022
Event48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022 - Brussels, Belgium
Duration: 2022 Oct 172022 Oct 20

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2022-October
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022
Country/TerritoryBelgium
CityBrussels
Period22-10-1722-10-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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