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

Downtown Dublin as a Lidar Point Cloud

A Highly Accurate, Diverse and Dense Annotated Laser Scanning Dataset of a City Centre
The advance of Lidar data acquisition technologies is substantially increasing the amount of spatial data obtained and it is becoming cost-prohibitive to process it manually. Artificial intelligence (AI) has now started to offer cost-effective solutions to analyse and utilize those big datasets. AI can be employed for scene understanding, accurately detecting objects and classifying 3D assets. These are the significant fundamentals of several applications including autonomous navigation, intelligent robotics, urban planning, emergency management and even forest monitoring. The most popular types of 3D spatial information for such applications are Lidar and imagery data. This article describes the dense annotated ground-truth... (read more)
2019-11-27 10:05:38

Vercator Desktop Delivers Efficient Point Cloud Processing

Vercator Desktop software is developed by Correvate, a UCL spin-out company whose vision is to improve geospatial understanding by delivering unrivalled 3D point cloud data processing. The new software delivers fast, automatic 3D point cloud registration and data processing by exploiting an innovative approach which utilises natural features in the environment to register data sets. Accuracy is enhanced as a result with traceable, repeatable reporting. Initially targeted at the construction sector, Vercator Desktop promises to improve the productivity of BIM users in the supply chain. As those involved in the delivery of a construction project increase their appreciation of BIM,... (read more)
2018-07-02 11:45:18

Maptek Releases I-Site Studio 6 Point Cloud Modelling Tools

The latest I-Site point cloud processing tools from Maptek focus on the everyday needs of mine surveyors for fast and accurate volumes, conformance reporting, geotechnical analysis and CAD design. I-Site Studio software offers an expanding range of applications with increasing sophistication. I-Site Studio 6, released earlier this month, provides various new tools and requested enhancements. New CAD design tools include user-friendly preferences for snapping to angles and points. Other in-demand items include auto registration and alignment of scans, complex surface modelling, waviness analysis for geotechnical modelling and analysis. Surveyors are under pressure from all departments to quickly and safely survey... (read more)
2016-01-11 04:59:37

Laser Scanning Professionals Convert Point Clouds with NavVis Cloud

NavVis, a provider of indoor spatial intelligence solutions for enterprises, has announced the launch of NavVis Cloud, a new cloud-based platform that gives laser scanning professionals access to NavVis IndoorViewer as a Software-as-a-Service (SaaS) solution. Fully immersive, web-based 3D buildings can now be delivered as part of every scan project using point cloud files from terrestrial laser scanners and the NavVis M6 Indoor Mobile Mapping system (IMMS). NavVis IndoorViewer is a web-based application that transforms data captured by laser scanners into fully immersive 3D buildings. With a few clicks, scan data is automatically structured into a basic model of the... (read more)
2019-03-25 11:04:06

SimActive Adds Lidar to Point Cloud Processing Solution

In response to the growing use of Lidar, photogrammetry software developer SimActive has integrated a new Lidar workflow in its Correlator3D product. The capability enables users to import a point cloud in the software and to perform registration with an image dataset. Using Lidar as control eliminates the need for traditional ground control points (GCPs) during image processing. Registration occurs during aerial triangulation, leading to a precise alignment of imagery with the Lidar data. Following this, Correlator3D can output colourized point clouds as well as seamless orthomosaics. “Removing the need to manually tag GCPs facilitates the integration of Lidar data... (read more)
2019-12-11 11:36:23

LizardTech Awarded Lidar Patent for Point Cloud Compression

LizardTech, a provider of software solutions for managing and distributing geospatial content, has been awarded a USA patent for the compression of Lidar point clouds. The patented technology provides lossless compression of point clouds captured by airborne Lidar sensors or terrestrial laser scanners for easy and cost-effective processing, storage and transmission of data sets. “Lidar systems capture terabytes of data that can be difficult to exploit due to the difficulty processing such massive files,” said John Hayes, LizardTech Senior Engineer. “Our Lidar compression technique allows users to maximize their return on investment in point cloud data collection.” LizardTech developed the... (read more)
2017-09-25 02:47:34

Robust Automatic 3D Point Cloud Registration and Object Detection

The Vercator toolkit offers a ground-breaking approach to generating survey data for a BIM process. Produced by a UCL spin-out company, Correvate, this article touches on the robust automatic registration and smart object recognition technology that the company is developing for downstream analysis. In order to construct survey-grade 3D models of buildings, roads, railway stations, canals and other similar structures, the 3D environment must be fully recorded with accuracy. Following this, accurate measurements of the dimensions can be made on the recorded 3D datasets to enable 3D model extraction without having to return to the site and in significantly reduced... (read more)
2018-03-23 10:45:54

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

Intelligent Point Clouds
Instruments for digitizing the 3D real environment are becoming smaller, more lightweight, lower-cost 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 moving. Each laser scan records tens of millions of data point positions and colours in a point cloud, and hundreds of such point clouds may be combined. This article discusses... (read more)
2020-02-25 10:56:50

Mobile Laser Scanning Point Clouds

Automatic 3D Mapping of Road Objects
The demand for 3D maps of cities and road networks is steadily increasing and mobile mapping systems are often the preferred acquisition method for capturing such scenes. Manual processing of point clouds is labour intensive and thus time consuming and expensive. This article focuses on the state of the art of automatic classification and 3D mapping of road objects from point clouds acquired by mobile mapping systems and considers the feasibility of exploiting scene knowledge to increase the robustness of classification. Management of roads requires inventories on pavement conditions, road markings and objects in the vicinity of the road including... (read more)
2018-01-15 10:56:58
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