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RSS FeedsRemote Sensing, Vol. 11, Pages 1963: From BIM to Scan Planning and Optimization for Construction Control (Remote Sensing)

 
 

21 august 2019 16:00:30

 
Remote Sensing, Vol. 11, Pages 1963: From BIM to Scan Planning and Optimization for Construction Control (Remote Sensing)
 


Scan planning of buildings under construction is a key issue for an efficient assessment of work progress. This work presents an automatic method aimed to determinate the optimal scan positions and the optimal route based on the use of Building Information Models (BIM) and considering data completeness as stopping criteria. The method is considered for a Terrestrial Laser Scanner mounted on a mobile robot following a stop & go procedure. The method starts by extracting floor plans from the BIM model according to the planned construction status, and including geometry and semantics of the building elements considered for construction control. The navigable space is defined from a binary map considering a security distance to building elements. After a grid-based and a triangulation-based distribution are implemented for generating scan position candidates, a visibility analysis is carried out to determine the optimal number and position of scans. The optimal route to visit all scan positions is addressed by using a probabilistic ant colony optimization algorithm. The method has been tested in simulated and real buildings under very dissimilar conditions and structural construction elements. The two approaches for generating scan position candidates are evaluated and results show the triangulation-based distribution as the more efficient approach in terms of processing and acquisition time, especially for large-scale buildings.


 
193 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 11, Pages 1962: Retrieval of Cloud Optical Thickness from Sky-View Camera Images using a Deep Convolutional Neural Network based on Three-Dimensional Radiative Transfer (Remote Sensing)
Remote Sensing, Vol. 11, Pages 1961: Systematic Comparison of Power Corridor Classification Methods from ALS Point Clouds (Remote Sensing)
 
 
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