For vehicle LiDAR surveys this is due to implementation across much larger projects including national data collection programs.Īs a consequence, the amount of data collected during a survey is substantial. For drone based surveys this is due to the endurance of UAVs, which has significantly extended, and the uptake of the technology has increased. The size of survey areas being captured using LiDAR is continually increasing. This means that you can concentrate on developing the algorithm rather than handling the internal point cloud structure.įeature 6: Process datasets from large survey areas Benefit: Proficient, fast and easy processing #Cldvr software codeA utility program is supplied that will create the C++ header file and populate the main code with predefined function calls and parameters. This flexibility is ideal for Academic and Research Institutions that want to undertake research using different and unique LiDAR algorithms. Of course, you retain the Intellectual Property on the filters you develop. The Toolkit enables you to build your own workflows and batch processes. With the Filter Development Toolkit, you can develop your own bespoke filters, using Microsoft Visual Studio and C++, for your specific project needs. #Cldvr software softwareProcessing as much as you can in one software package makes sense.įeature 5: Filter Development Toolkit Benefit: Develop your own specific filters
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