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Pose estimation in runway end safety area using geometry structure features

Published online by Cambridge University Press:  20 April 2016

X. Wang ,
H. Yu  and
D. Feng
X. Wang
Affiliation:
School of Astronautics, Northwestern Polytechnical University, China
H. Yu*
Affiliation:
School of Aerospace Science and Technology, Xidian University, China
D. Feng
Affiliation:
School of Aerospace Science and Technology, Xidian University, China
*
yuhang9551@163.com
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Abstract

A novel image-based method is presented in this paper to estimate the poses of commercial aircrafts in a runway end safety area. Based on the fact that similar poses of an aircraft will have similar geometry structures, this method first extracts features to describe the structure of an aircraft's fuselage and aerofoil by RANdom Sample Consensus algorithm (RANSAC), and then uses the central moments to obtain the aircrafts’ pose information. Based on the proposed pose information, a two-step feature matching strategy is further designed to identify an aircraft's particular pose. In order to validate the accuracy of the pose estimation and the effectiveness of the proposed algorithm, we construct a pose database of two common aircrafts in Asia. The experiments show that the designed low-dimension features can accurately capture the aircraft's pose information and the proposed algorithm can achieve satisfied matching accuracy.

Keywords

Pose estimationRANSACcentral momentrunway monitoring
Type
Research Article
Information
The Aeronautical Journal , Volume 120 , Issue 1226 , April 2016 , pp. 675 - 691
Copyright
Copyright © Royal Aeronautical Society 2016 

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