计算机应用 ›› 2011, Vol. 31 ›› Issue (06): 1709-1712.DOI: 10.3724/SP.J.1087.2011.01709

• 典型应用 • 上一篇    下一篇

基于地形高程模型的飞行器位姿估计方法

廖威1,翁璐斌1,于俊伟2,田原1   

  1. 1. 中国科学院 自动化研究所,北京 100190
    2. 河南工业大学 信息科学与工程学院, 郑州 450001
  • 收稿日期:2010-11-17 修回日期:2011-01-05 发布日期:2011-06-20 出版日期:2011-06-01
  • 通讯作者: 廖威
  • 作者简介:廖威(1987-),男,湖北仙桃人,硕士研究生,主要研究方向:辅助导航系统、图像处理;
    翁璐斌(1979-),男,浙江舟山人,助理研究员,博士,主要研究方向:计算机视觉、飞行器导航、图像处理;
    于俊伟(1980-),男,河南周口人,讲师,博士,主要研究方向:计算机视觉、知识感知;
    田原(1964-),男,陕西西安人,研究员,博士,主要研究方向:计算机视觉、导航定位与跟踪、图像处理。
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目

Position and pose estimation of aerial vehicle based on terrain elevation model

LIAO Wei1,WENG Lubin1,YU Junwei2,TIAN Yuan1   

  1. 1. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    2. College of Information Science and Engineering, Henan University of Technology, Zhengzhou Henan 450001, China
  • Received:2010-11-17 Revised:2011-01-05 Online:2011-06-20 Published:2011-06-01
  • Contact: LIAO Wei

摘要: 针对无法依靠景象匹配手段进行导航定位和无法有效利用惯导姿态信息的情况,提出了一种基于地形高程模型的飞行器绝对姿态和位置的估计方法。该方法首先利用机载下视摄像系统获取实时立体图像对及利用传感器获得飞行速度信息,通过修改双像运动模型来重建飞行器下方的地形信息;然后利用三维重建结果的刚体约束给出一种匹配机载地形高程模型数据的方法,用于估计飞行器在世界坐标系中的绝对位姿。仿真结果表明:改进的双像运动模型具有更高的精度,更有利于在世界坐标系下进行位姿估计。

关键词: 位姿估计, 双像运动模型, 欧氏重建, 地形高程模型

Abstract: In order to solve the problems that scene matching cannot be applied to navigation and Inertial Navigation System (INS) pose information cannot be effectively used, a new approach based on the digital terrain elevation model was proposed to estimate the absolute position and pose for aerial vehicle. Firstly, the stereo pairs were captured by the airborne camera system and the information of flight speed was acquired by sensors; secondly, the terrain information under the vehicle was obtained by modifying the dual camera motion model; finally, a method used to match the on-board terrain elevation model data based on the rigid-body constraint of the 3D reconstruction results was proposed, which was used to estimate the position and pose of the vehicle in the world coordinate system. The simulation results demonstrate that the improved dual camera motion model achieves better precision, making the estimation of position and pose in the world coordinate system more effective and efficient.

Key words: position and pose estimation, dual camera motion model, Euclidean reconstruction, terrain elevation model

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