[PDF][PDF] Spacecraft pose estimation using a monocular camera

J Shi, S Ulrich, S Ruel - 67th International Astronautical Congress, 2016 - ai-automata.ca
This paper propose a process for spacecraft pose estimation using monocular camera
images. This process uses a unique combination of methods in image processing, feature …

The kinematics analysis of webbed feet during cormorants' swimming

J Huang, X Gong, Z Wang, X Xue… - … on Robotics and …, 2016 - ieeexplore.ieee.org
To reveal the flippers propulsion and the self-adjustment mechanism, which can be used to
inspire the design of submersible aircraft. This article makes some research on the bionic …

An improvement of pose measurement method using global control points calibration

C Sun, P Sun, P Wang - PloS one, 2015 - journals.plos.org
During the last decade pose measurement technologies have gained an increasing interest
in the computer vision. The vision-based pose measurement method has been widely …

Comparative study of relative-pose estimations from a monocular image sequence in computer vision and photogrammetry

T Tumurbaatar, T Kim - Sensors, 2019 - mdpi.com
Techniques for measuring the position and orientation of an object from corresponding
images are based on the principles of epipolar geometry in the computer vision and …

Robust and accurate vision-based pose estimation algorithm based on four coplanar feature points

Z Zhang, S Zhang, Q Li - Sensors, 2016 - mdpi.com
Vision-based pose estimation is an important application of machine vision. Currently,
analytical and iterative methods are used to solve the object pose. The analytical solutions …

An efficient vision-based pose estimation algorithm using the assistant reference planes based on the perspective projection rays

Z Zhang, S Zhang - Sensors and Actuators A: Physical, 2018 - Elsevier
The vision-based pose estimation using feature point markers is known as the PnP
(perspective-n-point) problem. Usually the pose estimation algorithms use the pinhole …

[引用][C] 空间航天器交会对接位姿精度估测研究

冷青凡, 薄煜明, 赵高鹏, 刘鲁江 - 计算机仿真, 2016