Autonomous altitude measurement and landing area detection for indoor UAV applications

Burak Kakillioglu, Senem Velipasalar

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

4 Scopus citations

Abstract

Fully autonomous navigation of unmanned vehicles, without relying on pre-installed tags or markers, still remains a challenge especially for GPS-denied areas and complex indoor environments. Robust altitude control and safe landing zone detection are two important tasks for indoor unmanned aerial vehicle (UAV) applications. In this paper, a novel approach is proposed for indoor UAVs to control their altitudes, and autonomously detect safe landing zones without relying on any markers, special setups, or assuming that the environment is known. The proposed method employs both depth data and RGB images to detect and also track the safe landing zones.

Original languageEnglish (US)
Title of host publication2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages166-172
Number of pages7
ISBN (Electronic)9781509038114
DOIs
StatePublished - Nov 7 2016
Event13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 - Colorado Springs, United States
Duration: Aug 23 2016Aug 26 2016

Other

Other13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016
CountryUnited States
CityColorado Springs
Period8/23/168/26/16

ASJC Scopus subject areas

  • Signal Processing
  • Media Technology
  • Instrumentation
  • Computer Vision and Pattern Recognition

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  • Cite this

    Kakillioglu, B., & Velipasalar, S. (2016). Autonomous altitude measurement and landing area detection for indoor UAV applications. In 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2016 (pp. 166-172). [7738069] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AVSS.2016.7738069