Point cloud and BIM model registration based on improved adaptive genetic algorithm

doi:10.13474/j.cnki.11-2246.2020.0065

Abstract

Abstract: Registration of point cloud and design model is a key step in digital detection of steel structures.The traditional registration method is computationally intensive and slow in convergence. Aiming at accurate registration, an improved adaptive genetic algorithm is proposed for the registration method of point cloud and design model, adaptively adjust the execution order of cross probability and mutation probability and the magnitude' of probability value, and improve the diversity of population and convergence speed. Experiments show that the improved adaptive genetic algorithm greatly improves the accuracy and convergence speed of point cloud and model registration.

Key words: point cloud, BIM model, registration, improved adaptive genetic algorithm

CLC Number:

P237

LI Guoyuan, WANG Jian, LIU Xiuhan, SUN Wenxiao. Point cloud and BIM model registration based on improved adaptive genetic algorithm[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 160-162.

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Point cloud and BIM model registration based on improved adaptive genetic algorithm

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