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Description

3DF Zephyr enables the adoption of photogrammetry across various applications, catering to diverse objectives and requirements through a comprehensive software suite. Our proprietary technology is designed to be as adaptable and user-friendly as possible, allowing for seamless integration with the skill levels of different users. With 3DF Zephyr, users can effortlessly conduct automatic 3D reconstructions by utilizing images and videos captured with any sensor and employing a variety of acquisition methods. You have the flexibility to utilize multiple cameras, lenses, and focal lengths during a single surveying or scanning session. Maximize your aerial and terrestrial photogrammetry capabilities by processing videos, spherical images, multispectral, and thermal plus RGB visuals all within one software platform. Additionally, 3DF Zephyr goes beyond traditional photogrammetry by allowing you to import, align, and analyze your laser scan data, supporting a range of native file formats. This makes it a comprehensive tool for professionals in the field, streamlining workflows and enhancing project efficiency.

Description

LidarView, an open-source platform created by Kitware, facilitates real-time visualization, recording, and processing of 3D LiDAR data. This platform, which is built on the foundation of ParaView, excels in rendering extensive point clouds and provides functionalities like 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes such as timestamp and azimuth, and the capability to showcase multiple data frames at once. Users have the flexibility to input data from live sensor streams or from recorded .pcap files, allowing them to apply 3D transformations to point clouds and manage various subsets of laser data effectively. LidarView is compatible with a diverse range of sensors, including those from Velodyne, Hesai, Robosense, Livox, and Leishen, making it possible to visualize live streams as well as replay previously recorded data. The platform is also equipped with sophisticated algorithms for Simultaneous Localization and Mapping (SLAM), which aids in precise environmental reconstruction and sensor localization. Additionally, it features AI and machine learning capabilities that enhance scene classification, offering users a comprehensive tool for advanced data analysis and visualization. This makes LidarView a versatile option for researchers and professionals seeking to leverage LiDAR technology in their work.