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Aircraft Pose Estimation Based on Geometry Structure Features and Line Correspondences.

Xichao Teng1, Qifeng Yu2, Jing Luo3

  • 1College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China. tengari@buaa.edu.cn.

Sensors (Basel, Switzerland)
|May 12, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new aircraft pose estimation method using generic geometry features from single images. This approach accurately determines aircraft flight status without needing 3D models or special markers.

Keywords:
aircraft pose estimationbilateral symmetryline correspondencesstructure extractionvector analysisweak perspective projectionwide-baseline image pairs

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Area of Science:

  • Aerospace Engineering
  • Computer Vision
  • Robotics

Background:

  • Accurate aircraft pose estimation is critical for numerous aerospace applications, reflecting real-time flight status.
  • Existing methods often rely on 3D models, cooperative markers, or extensive feature datasets, limiting their universality and applicability.

Purpose of the Study:

  • To develop a universal framework for robust and accurate aircraft pose estimation.
  • To leverage generic geometric structure features from single images for pose determination.

Main Methods:

  • Extraction of line features to describe aircraft structure in single images.
  • Utilizing parallel line clustering for fuselage reference line detection.
  • Employing bilateral symmetry for wing edge line extraction under weak perspective projection.
  • Applying a planes intersection method to derive 3D pose parameters from line correspondences.

Main Results:

  • The proposed method successfully extracts key aircraft structural features, including fuselage and wing lines.
  • It achieves reliable and accurate 3D pose estimation for various aircraft types.
  • The method enhances the measuring range of binocular vision sensors.

Conclusions:

  • A novel, model-free aircraft pose estimation technique based on geometric features has been successfully developed.
  • The method demonstrates robustness and accuracy, offering a versatile solution for aerospace applications.
  • This approach eliminates the need for 3D models or cooperative markers, increasing practical utility.