scholarly journals Geometric Verification of Vector Fields for Autonomous Aircraft Navigation

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Giovanni Miraglia ◽  
Loyd R. Hook
2013 ◽  
Vol 278-280 ◽  
pp. 1237-1241
Author(s):  
Jun Wei Yu ◽  
Nan Liu ◽  
Gui Cai Wang ◽  
Xiao Bo Jin

A novel technique of vision-aided navigation for autonomous aircraft is presented in this paper. The aircraft’s position and pose are estimated with several control points. The saliency descriptor of corner is defined and the control points are selected according their saliency. Control points are tracked in sequential images based on Fourier-Melline transform. The unscented Kalman filter is used to fuse the aircraft state information provided by the vision system and the inertial navigation system. Experiments show that the accuracy, efficiency and robustness of aircraft navigation system are improved with the proposed method.


2014 ◽  
Vol E97.C (7) ◽  
pp. 661-669
Author(s):  
Ying YAN ◽  
Xunwang ZHAO ◽  
Yu ZHANG ◽  
Changhong LIANG ◽  
Zhewang MA

Author(s):  
Michael Kachelriess

This chapter introduces tensor fields, covariant derivatives and the geodesic equation on a (pseudo-) Riemannian manifold. It discusses how symmetries of a general space-time can be found from the Killing equation, and how the existence of Killing vector fields is connected to global conservation laws.


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