Landing site searching and selection algorithm development using vision system and its application to quadrotor

Jongho Park, Youdan Kim, Sungwan Kim

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

An enhanced search algorithm of a landing site on unknown terrain using stereo vision information for a quadrotor unmanned aerial vehicle is developed. For the development, a quadrotor dynamic model, including nonlinear actuator dynamics, is constructed and guidance and control system is designed based on feedback linearization and linear quadratic tracker. Stereo vision sensor is used to acquire depth map information of the terrain and flatness information of the topography is obtained by extracting the edge of the depth map and performing Euclidean distance transform. Energy consumption of the quadrotor is also considered. The three measures of: 1) the depth; 2) the flatness; and 3) the energy consumption are combined to propose a performance index to determine the safe landing spot of the quadrotor. Numerical simulation is performed to verify the performance of the proposed algorithm and hardware system applicable to practical implementation is also included.

Original languageEnglish
Article number6884813
Pages (from-to)488-503
Number of pages16
JournalIEEE Transactions on Control Systems Technology
Volume23
Issue number2
DOIs
StatePublished - 1 Mar 2015

Keywords

  • Autonomous landing
  • depth map
  • quadrotor system
  • stereo vision
  • unmanned aerial vehicle (UAV)

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