Enforcing the General Planar Motion Model: Bundle Adjustment for Planar Scenes

Author(s):  
Marcus Valtonen Örnhag ◽  
Mårten Wadenbäck
Author(s):  
R.P. Simonyants ◽  
V.A. Tarasov

The paper shows that gravitational torque may cause an emergency “inverted attitude” mode in a relay spacecraft stabilisation system due to the fact that a field-of-view limit type sensor may be non-linear. We performed structural partitioning of the phase cylinder into regions with various trajectory types for the case of a simplified planar motion model. We demonstrate the synthesis routine for finding the boundaries separating the region marking the system transitioning into the regular attitude mode from the region signifying it entering the emergency mode. We derived analytical conditions under which emergency modes arise, which can serve as the basis for synthesising algorithms to prevent these modes from occurring.


2012 ◽  
Vol 38 (9) ◽  
pp. 1428 ◽  
Author(s):  
Xin LIU ◽  
Feng-Mei SUN ◽  
Zhan-Yi HU

1991 ◽  
Author(s):  
R. N. Forrest ◽  
J. N. Eagle

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Jianying Yuan ◽  
Qiong Wang ◽  
Xiaoliang Jiang ◽  
Bailin Li

The multiview 3D data registration precision will decrease with the increasing number of registrations when measuring a large scale object using structured light scanning. In this paper, we propose a high-precision registration method based on multiple view geometry theory in order to solve this problem. First, a multiview network is constructed during the scanning process. The bundle adjustment method from digital close range photogrammetry is used to optimize the multiview network to obtain high-precision global control points. After that, the 3D data under each local coordinate of each scan are registered with the global control points. The method overcomes the error accumulation in the traditional registration process and reduces the time consumption of the following 3D data global optimization. The multiview 3D scan registration precision and efficiency are increased. Experiments verify the effectiveness of the proposed algorithm.


2021 ◽  
Vol 220 ◽  
pp. 108195
Author(s):  
M. Cansın Özden ◽  
Sertaç Kurdoğlu ◽  
Ersin Demir ◽  
Kadir Sarıöz ◽  
Ömer Gören

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