Results for: explorer

SpatialExplorer is the core of Phoenix LiDAR’s desktop software suite. It is an expandable program that is built to ensure you get the data you need. Starting from data acquisition, SpatialExplorer provides tools for real-time streaming point clouds, telemetry monitoring, and other in-field quality control. Post-acquisition data processing tools put users in control of their datasets.

...When creating spatial intelligence via mobile mapping, navigation, guidance, and control of Autonomous Vehicles (AVs), asset or fleet tracking, or mobile remote sensing, the state-of-the-art Applanix IN-Fusion+ technology provides the most robust, accurate, and continuous measurements of spatial knowledge. Our latest white paper explores the many methods of data collection, their advantages and drawbacks, and explains how Applanix technology is able to create the best possible solution across all sensors.

Jump-start your projects by rapidly creating conceptual designs and improving the decision-making process. OpenRoads ConceptStation offers roadway and bridge design capabilities to help road and land development engineers create intelligent models in context. Explore conceptual design options with real-world data and cost analysis to improve project results. Combine data acquisition, reality modeling, and conceptual design to help identify high-cost and high-risk items in the preliminary and planning design stages of your infrastructure projects. Assemble context data rapidly from a variety of sources, such as point clouds, 3D reality meshes, terrain data, images, and geospatial information to bring real-world settings to your project. ...

...Users can take virtual measurements to minimize site visits and improve site documentation. It supports the annotation of points of interest and the creation of guided tours for virtual site exploration. NUBIGON is compatible with various point cloud file formats.

While recent work on text-conditional 3D object generation has shown promising results, the state-of-the-art methods typically require multiple GPU-hours to produce a single sample. This is in stark contrast to state-of-the-art generative image models, which produce samples in a number of seconds or minutes. In this paper, we explore an alternative method for 3D object generation which produces 3D models in only 1-2 minutes on a single GPU. Our method first generates a single synthetic view using a text-to-image diffusion model and then produces a 3D point cloud using a second diffusion model which conditions the generated image. While our method still falls short of the state-of-the-art in terms of sample quality, it is one to two orders of magnitude faster to sample from, offering a practical trade-off for some use cases. ...

Purchase your CADMATIC eBrowser annual or three-year subscription directly from our store. CADMATIC eBrowser makes project review a breeze. You can walk through your 3D model, combine several models in one, or compare models. You can also check collisions, easily locate objects and check their details, take measurements, import laser-scanned point clouds, and leave notes (markups) on top of the 3D model. Another great feature is the extremely small file size, only approx. 10MB per project....

...Choose the AutoGCPs feature for even greater accuracy. Get an instant view of any jobsite from anywhere, on your browser, in 2D and 3D, with results you can measure, explore, compare, share and collaborate on. Keep a permanent and up-to-date record of the project and resolve disputes efficiently. Capture images or point clouds with a drone or any laser scanner. When using a drone, automate and optimize your flights with the free PIX4Dcapture mobile app. Use the combined power of images and point clouds to extract key elements from photogrammetry, laser scanning or LiDAR data. ...