Best LiDAR Software for Microsoft Excel

Discover a highly efficient civil engineering tool that enables you to swiftly visualize terrain from various perspectives and export your surveys to DTM format. This tool supports the importation of extensive LiDAR Point Clouds data for straightforward analysis. You can also seamlessly integrate your .xml and .dwg files into your preferred CAD software and share them effortlessly. Utilizing an external database enhances data sharing capabilities. The software allows for the editing of surfaces by incorporating break lines and holes, while also managing both 2D and 3D profile alignments, including LiDAR Point Clouds. It features four distinct methods for calculating volumes: by comparing surfaces, evaluating planes, analyzing cross sections, and assessing solids. Additionally, the tool generates surfaces by simplifying the Point Cloud and retaining only the critical points that represent surface behavior effectively. You can easily place, move, and rotate building footprints within a parcel, all while adhering to the specified constraints. The application also provides the ability to automatically generate parcels from survey points or existing drafts. Furthermore, it assists users in creating, editing, and triangulating surfaces by allowing the selection of points and break lines, making it an invaluable resource for civil engineering projects. This functionality streamlines workflows, ensuring that professionals can focus on design and analysis without unnecessary complications.

VeloView is a versatile open-source platform tailored for the real-time visualization and analysis of 3D LiDAR data obtained from various Velodyne HDL sensor models, such as the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This application allows users to either visualize live data streams or review previously recorded data archived in .pcap files, while also offering the functionality to record live streams for future examination. With tools designed for displaying, selecting, and measuring data from captured points, VeloView supports custom color maps influenced by factors such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Users have the option to export data in CSV format as XYZ coordinates or capture screenshots of the point cloud visualization. Recent enhancements have added features like compatibility with Velarray sensors, the ability to operate multiple sensors concurrently, and independent transformation of live data for each sensor, thereby expanding its usability and versatility. Overall, VeloView stands out as a powerful tool for professionals working with 3D LiDAR technology.