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Autonomous vision-based safe area selection algorithm for UAV emergency forced landing

  • Beihang University

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

Abstract

In order to solve forced landing for Unmanned Aerial Vehicle (UAV) in emergency situations, an autonomous vision-based algorithm to select safe forced landing area was proposed. To detect the slowly changing edges and weak edges, the algorithm improved the canny operator to detect safe landing area without obstacles. Then eroding and dilating close operation was adopted to select the area. To analyze its terrain, the DEM data was acquired. By extracting features of interesting area, fast classification and recognition of landing area based on Bayesian theory was carried out. The algorithm presents a fast and accurate result on the forced landing area selection for UAVs.

Original languageEnglish
Title of host publicationInformation Computing and Applications - Third International Conference, ICICA 2012, Proceedings
Pages254-261
Number of pages8
EditionPART 2
DOIs
StatePublished - 2012
Event3rd International Conference on Information Computing and Applications, ICICA 2012 - Chengde, China
Duration: 14 Sep 201216 Sep 2012

Publication series

NameCommunications in Computer and Information Science
NumberPART 2
Volume308 CCIS
ISSN (Print)1865-0929

Conference

Conference3rd International Conference on Information Computing and Applications, ICICA 2012
Country/TerritoryChina
CityChengde
Period14/09/1216/09/12

Keywords

  • Bayesian Classifier
  • Forced Landing
  • Improved Canny

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