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Development of a practical photogrammetric network design using evolutionary computing
Author(s) -
Olague Gustavo,
Dunn Enrique
Publication year - 2007
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/j.1477-9730.2007.00403.x
Subject(s) - computer science , bundle adjustment , bundle , intersection (aeronautics) , network planning and design , evolutionary algorithm , set (abstract data type) , engineering design process , metaheuristic , photogrammetry , process (computing) , evolutionary computation , artificial intelligence , engineering , mechanical engineering , computer network , materials science , composite material , programming language , aerospace engineering , operating system
Photogrammetric network design is the process of optimising a network configuration in terms of the accuracy of object points. This accuracy is improved by selecting the best set of intersection rays in a bundle adjustment. This paper explains the approach followed to achieve the development of a practical network design using a real robotic system. The aim is to integrate a simulation‐based network design into a practical vision metrology system. The simulation is carried out with a population search metaheuristic inspired by the evolutionary computing paradigm. The proposed approach uses an analytical criterion to search for a suitable first‐order design in a fraction of the computational time required by the evolutionary approach using a rigorous bundle adjustment. The combination of an evolutionary algorithm simulation with the very well‐established bundle adjustment provides a straightforward approach to network design. An example of a photogrammetric network design is provided to illustrate the result of a complete network design.