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Project coordinator: |
Vladimir Badenko |
Peter the Great St.Petersburg Polytechnic University, Water management and hydraulic engineering |
Russia |
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Project partners: |
R.D. Garg |
Indian Institute of Technology Roorkee, Geomatics Engineering, Civil Engineering Department |
India |
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Lei Zhang |
East China Normal University, School of Information Science Technology, Shanghai Key Laboratory of Mutimensianal Information Processing, Engineering Center of SHMEC for Space Information and GNSS |
China |
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Funding agencies: |
MON (Russia), DST (India), MOST (China) |
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The development of a unified hybrid technology for the processing, storage and visualization of laser scanning and photography data, based on decoding and vectorization algorithms. The technology used for processing laser scanning data during the civil-engineering survey for the construction process, engineering survey for roads and railways, creating three-dimensional models of the terrain and topography, urban infrastructure, engineering surveying and modelling of a buildings, and industrial sites.
The project consortia will develop new algorithms of cloud of points processing (big data processing) received from laser scanner. Creation of the software for the processing, visualization and vectorization of laser scanning data, as well as the presentation of data through the Internet, providing:
• improved efficiency and accuracy of processing of laser scanning data (decoding and vectorization not less than 99.5%);
• to provide to the customer of laser scanning process (within the engineering survey) the functionality of the post-processing of results of the scan on the basis of the primary (raw) information about the object( which is most valuable information)
Develop new algorithms of cloud of points processing. Manage integration and creation of the software for the processing, visualization and vectorization of laser scanning data, as well as the presentation of data through the Internet
Research and development of three-dimension laser scanning for the structural health monitoring of the urban infrastructure, and 3D Laser Point Cloud processing, storage and visualization of laser scanning and photography data, based on decoding and vectorization algorithms.
