Pix4D Launches Stand-alone Photogrammetry Cloud Processing Solutions

Pix4D, the Switzerland-based photogrammetry and drone-mapping company, has released Pix4Dcloud and Pix4Dcloud Advanced: the new mapping platforms for online surveying workflows and construction site monitoring. These stand-alone cloud products run Pix4D’s photogrammetry algorithms for mapping and modelling reality from images. Pix4Dcloud Advanced extends the functionalities of Pix4Dcloud to address the needs of construction customers with timeline-based monitoring and improved accuracy. Both products now replace the previous Pix4D Cloud platforms. Christoph Strecha, founder and CEO of Pix4D, commented: “Pix4D’s new and improved cloud solutions actively contribute to completing the existing desktop and mobile product offering. Integrating Pix4D’s leading algorithms and know-how... (read more)
2020-06-09 01:12:18

Digitizing Reality: Automated 3D Point Cloud Data Processing Using AI

Intelligent Point Clouds
How can today's advanced technology solve the challenges that many organizations face after obtaining vast 3D point cloud datasets, such as the management, storage, registration, fusion and extraction of useful and actionable information? Instruments for digitizing the 3D real environment are becoming smaller, more lightweight, cheaper and more robust. Accordingly, they are finding increasingly widespread usage, not only on surveying tripods for the highest accuracy, but also on mobile platforms such as autonomous vehicles, drones, helicopters, aircraft, robotic vacuum cleaners, trains, mobile phones, satellites and Martian rovers. Lidar uses laser scanning, while photogrammetry records images from one or more cameras which may be... (read more)
2020-02-25 10:56:50

Lidar Point Cloud Segmentation

A Novel Framework for Processing Terrestrial Lidar Data
Terrestrial Lidar data has great potential to produce measurements for as-built building information modelling (BIM). Unfortunately, processing hundreds of millions of points, often contaminated by substantial noise, can be tedious and time-consuming. Normal variation analysis (Norvana) segmentation is an automatic method that can segment large terrestrial Lidar point clouds containing hundreds of millions of points within minutes. Thanks to the high speed, point density and accuracy of modern terrestrial laser scanning (TLS), as-built BIM can be conducted with a high level of detail. But TLS captures not only useful geometric information but also unwanted objects, such as people, animals or... (read more)
2019-05-10 02:00:42

Qinertia PPK Software Now Supports Third-party IMUs

SBG Systems’ popular INS/GNSS PPK software called Qinertia now covers all surveyors’ projects by offering a licence dedicated to GNSS post-processing, according to the France-based company. Open to the world, Qinertia supports all major GNSS receivers and is now open to third-party IMUs. Qinertia has been designed to offer a comprehensive suite of post-processing software to the geospatial world. It accepts all major GNSS manufacturers, and supports proprietary protocols from Novatel, Septentrio, Trimble and Ublox for a straightforward workflow. It is one of the first full-featured post-processing software to offer a native support for Ublox F9 RTK receivers, reducing the... (read more)
2020-05-06 09:40:54

Taking Full Advantage of the Benefits of UAS Technology

Leveraging UAS technology across surveying and engineering sectors is demanding. Meeting the expectations of accuracy and accountability requires the best in expertise, methodology and equipment. The latest unmanned aerial system (UAS) photogrammetric hardware and software now enables surveyors to capture millions of survey measurements on the ground, where they would previously have measured only hundreds. It is essential to have the best-quality equipment, software and workflows to ensure this data is accurate, robust and defensible for professional use. Geosyntec is a leading consulting and engineering firm that works with private and public sector clients to address new ventures and complex... (read more)
2019-06-25 10:58:53

Pointfuse Laser Scanning Software Set to Transform Digital Construction Workflows

Pointfuse has released the latest version of its advanced point cloud processing software that converts the millions of individual measurements captured by laser scanning and photogrammetry. Featuring new streamlined classification to ensure maximum efficiency and multicore processing for unlimited conversion power, the new version of Pointfuse is set to transform workflows within digital construction, facilities management and virtual design applications. “Pointfuse is designed to make the use of point cloud data more accessible by removing many of the traditional barriers to use,” commented Mark Senior, regional sales director at Pointfuse. “Obstacles such as processing time and computer power, incompatibility within... (read more)
2019-08-20 10:40:47

Charles Thomson

Charles Thomson is the product manager for Correvate's Vercator software and is the interface between commercial and technical activities in the business. He is also involved in programming and assessment of the technology in Vercator linking it to market needs. As part of his PhD he implemented new capture technology, developed point cloud processing software for geometry processing and sat on industry working groups. Along with academic publications some of his work has appeared in Wired Magazine. Before his PhD, Thomson worked as a surveyor and was involved in projects for clients including London Underground, Network Rail and Crossrail. (read more)
2020-03-31 10:56:50

Kaarta Introduces New Solution for Large 3D Datasets

Kaarta, the innovator of real-time mobile 3D reality capture, has announced Kaarta Cloud, a new solution to process, store and share 3D spaces. It provides a fast, convenient and flexible workflow from field capture to finished data. Kaarta Cloud offloads the heavy lifting of the crucial processing of large 3D datasets. It offers the horsepower of an ultra-high performance parallel-processed network to tackle the load of processing massive reality capture files, far surpassing the computing power available on any local workstation or Kaarta device. SLAM and cloud-based processing Under the hood is Kaarta Engine, Kaarta’s patent-pending advanced 3D mapping and... (read more)
2020-07-20 11:58:20

What's the Difference Between SLAM Algorithms for Handheld Lidar?

To get the full story when researching handheld Lidar scanners, you also need to compare the SLAM algorithms. These three criteria will help you: processing speed, sensor integration and colorization. While researching handheld Lidar scanners, you will probably scour spec sheets, cross-reference features, and read about software workflows. But that will get you only part of the way to understanding the market – you will also need to compare the simultaneous localization and mapping (SLAM) algorithms that power these devices and enable them to create a point cloud as you walk. The problem is that SLAM algorithms can be difficult... (read more)
2019-12-24 09:48:10

Pointfuse Showcases New Scan-to-BIM Workflow at Digital Construction Week

At this year's Digital Construction Week, Pointfuse demonstrated a new scan-to-BIM workflow, aimed at bringing reality capture to building information modelling (BIM) and virtual design and construction (VDC) practitioners. Pointfuse software converts the millions of individual measurements captured by laser scanning and photogrammetry into usable 3D mesh models. The ability to classify objects within Pointfuse, both automatically and manually, has had a huge impact on how as-built data is used within the construction workflow.   New features also on show at Digital Construction Week, which took place from 16-17 October at Excel, London, included streamlined classification to ensure maximum efficiency and... (read more)
2019-10-22 01:03:28
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