Autonomous Stereo Camera Parameter Estimation for Outdoor Visual Servoing

Author(s):  
Nima Ziraknejad ◽  
Shahram Tafazoli ◽  
Peter D. Lawrence
Author(s):  
ZEN CHEN ◽  
CHAO-MING WANG

In this paper we address the camera parameter estimation problem using an arbitrary planar calibration object. We intend not to use a system of linear or nonlinear equations in terms of the camera parameters derived from the correspondence relationships between the image features (points or lines) and the object features. Instead, we assume that the shape of the planar object can be arbitrary. Therefore, there may not exist any extractable object point or line features. We formulate the estimation method as a generate-and-test method. To make the method effective, we reduce the dimensionality of the parameter space from six to two using a simplified model of the perspective transformation under some mild conditions. Furthermore, several other measures are also taken to cut down the generation time and the verification time. Real, computer-generated, and noisy imagery data are used to illustrate our method in the experiments. The statistics on the speed performance of the method are also included.


2004 ◽  
Vol 35 (8) ◽  
pp. 12-20 ◽  
Author(s):  
Tomokazu Sato ◽  
Masayuki Kanbara ◽  
Naokazu Yokoya ◽  
Haruo Takemura

2011 ◽  
Vol 5 (2) ◽  
pp. 241-246
Author(s):  
Yukinari Inoue ◽  
◽  
Noriaki Maru ◽  

The authors have previously proposed foot tip control for quadruped robots using linear visual servoing (LVS) with a normal stereo camera. However, a normal stereo camera has a narrow field of view and is incapable of seeing all four legs simultaneously. Consequently, it has been a problem that the control of all the legs have required that the rotatation of the camera be controlled. This article proposes a method by which a stereo omnidirectional camera is provided at a position low on the body to control all four legs through LVS. In this article, we at first present a transformation equation from an omnidirectional image to a binocular visual space, and we develop a servo equation of LVS in which an omnidirectional image is used. Then, through simulation, we confirm trajectories with the LVS applied to foot tip control. We also conduct an experiment using TITAN-VIII to demonstrate the efficacy of the proposed method.


2011 ◽  
Vol 2011 (0) ◽  
pp. _1A2-Q15_1-_1A2-Q15_2
Author(s):  
Taro SUZUKI ◽  
Kiichiro ISHIKAWA ◽  
Yoshiharu AMANO ◽  
Takumi HASHIZUME ◽  
Yoshihiro SHIMA ◽  
...  

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