地面目标特征识别与无人飞行器位姿估计  

Feature recognition of ground target and position and attitude estimation for unmanned aerial vehicle

作　　者：张梁[1] 徐锦法[1] 夏青元[2] 于永军[1] 

机构地区：[1]南京航空航天大学直升机旋翼动力学国家级重点实验室,江苏南京210016 [2]南京理工大学高维信息智能感知与系统教育部重点实验室,江苏南京210094

出　　处：《国防科技大学学报》2015年第1期159-164,共6页Journal of National University of Defense Technology

基　　金：国家部委预研基金资助项目(9140C400504130C40003);教育部重点实验室基金资助项目(30920140122006);中国博士后科学基金资助项目(2013M541668)

摘　　要：针对小型无人飞行器位置姿态估计问题,提出了一种基于视觉图像目标特征的相对位姿估计算法。应用Camshift算法获取目标初始位置,利用非线性尺度空间下的KAZE特征进行跟踪区域特征点提取,与源目标特征点进行匹配,得到精确的目标位置信息,实现了在图像平面内的目标快速跟踪,并得到机体轴系下无人飞行器与目标间相对位置和姿态角的估计值。对算法进行了实验验证,具有优良的跟踪性和实时性。Aimed at the problem of position and attitude estimation for UAV,a relative position and attitude estimation algorithm based on target features in image was proposed. The initial location of the target was obtained with Camshift algorithm. The feature points in tracking area based on the nonlinear scale space were picked up with KAZE features,which were used to match with the feature points of the source target. The exact location of the target could be obtained and the target could be tracked quickly in the picture plane. The estimation of relative position and attitude between the unmanned aerial vehicle and target was conducted in the body frame of axes. Some experiments were fulfilled for the verification of the algorithm. Results show that the proposed algorism has strong tracking and real-time performance.

关 键 词：无人飞行器 目标识别 位姿估计 KAZE特征 CAMSHIFT算法 

分 类 号：V249.31[航空宇航科学与技术—飞行器设计]