Using sequential self-calibration and genetic algorithm methods to optimally design tracer test for estimation of conductivity distribution

2004 ◽  
pp. 729-741
Author(s):  
Changming He ◽  
Bill X. Hu
Keyword(s):  
Genetic Algorithm ◽  
Tracer Test ◽  
Conductivity Distribution ◽  
Self Calibration

Camera Self-Calibration with Planar Pattern Using Genetic Algorithm

2011 ◽  
Vol 130-134 ◽  
pp. 1833-1838 ◽  
Author(s):  
Chun Hao Kao ◽  
Rong Ching Lo
Keyword(s):  
Genetic Algorithm ◽  
Fitness Function ◽  
Optimization Methods ◽  
Calibration Method ◽  
Natural Scenes ◽  
Self Calibration ◽  
Specific Object ◽  
Calibration Pattern ◽  
Conventional Optimization ◽  
Optimum Solution

In the paper, a stereo camera self-calibration method with Genetic Algorithm (GA) applied to the navigation of autonomous land vehicle (ALV) in a natural environment is proposed. The proposed method does not require specific object as a calibration pattern, e.g. checkerboard; conversely, it exploits common feature, for example: planes among natural scenes. In the evaluating process of GA, the coplanar condition of 3D points is employed as a fitness function to inspect the camera parameters. In addition, real valued GA is used because it does not only decrease the complexity of encoding and decoding process, but also increase the precision of solution. Comparing to conventional optimization methods, the camera self-calibration method based on GA can avoid being trapped in local minimum and does not need initial value or gradient information. Several experiments of the camera calibration with the stereo vision show that the proposed method can find approximate optimum solution.

Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm

2015 ◽  
Vol 27 (2) ◽  
pp. 025903 ◽  
Author(s):  
Zhigen Fei ◽  
Xiaojie Xu ◽  
Yanqiu Xiao ◽  
Nicolas Meier ◽  
Anthimos Georgiadis
Keyword(s):  
Genetic Algorithm ◽  
Improved Genetic Algorithm ◽  
Self Calibration ◽  
Measuring Machine ◽  
Five Axis
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