GIM International September/October 2020

GIM September/October 2020 cover

The cover image is a site of a new apartment building. Kinematic 3D data allows not only quick documentation of the construction phase, but also a means to monitor the land use, terrain shaping and drain elevations, and to inspect the building foundation level and placement of the construction versus the permit and city plan.

This issue contains the following articles:

  • Emerging Web and Game Engine Tech for 3 Cities
  • Kinematic Laser Scanning in Assessing Urban Land Use and Utility Infrastructure
  • The New Era of Mobile Scanning
  • The Future of Lidar is Critical to the Future of Our World
  • Advanced Urban 3D Modelling and Visualization
  • Full Automation in Mobile Lidar Data Classification
Articles Featured in This Issue

Advanced Urban 3D Modelling and Visualization

The automatic detection, data extraction, 3D modelling and visualization of buildings in urban areas using remote sensing data is an essential task in various applications such as cadastre, urban and rural planning, change detection, mapping, updating geographic information systems, monitoring, housing value and navigation. Even today, this task still remains challenging due to the inherent artefacts (e.g. shadows) in the remote sensing data used, as well as the differences in viewpoints, surrounding environment, complex shape and size of the buildings. This article outlines a generic workflow using modern technologies. Besides the recent developments in image processing, advances in computer vision have promoted automated methods able to generate precise 3D models from overlapped multiple... (read more)
18/09/2020

Kinematic Laser Scanning in Assessing Urban Land Use and Utility Infrastructure

Urbanization and the development of megacities poses critical challenges for sustainable but efficient land use globally. Power lines, pipelines for water, district heating, gas and oil, and other technological systems are critical yet often hidden assets facilitating today’s lifestyles. Meanwhile, there is an ever-important need to preserve natural environments and recreational spaces in the world’s cities, despite the pressure to spread more concrete and asphalt to accommodate the people and businesses flocking to them. This article examines how kinematic laser scanning can support urban planning and infrastructure management. There is an ever-increasing need to use the limited urban land area more efficiently. That is boosting the development and use of information systems i... (read more)
28/09/2020

The New Era of Mobile Scanning

Indoor mobile mapping is well past the tipping point and is about to go mainstream. Felix Reinshagen is co-founder and CEO of NavVis, a company that was set up with the objective of bridging the gap between outdoor and indoor digital maps. In this interview, he shares his views on the future, including his confidence that there will be plenty more developments in automatically generated assets from reality capture, and how 3D scanning and the geospatial industry are set to impact the world in many respects. Do you see laser scanning becoming a commodity in the near future, or will it remain a specialist job with large equipment? And how is NavVis preparing for that future? When it comes to the sheer availability and amount of laser scanning that’s being done, it will certainly become... (read more)
28/09/2020

Emerging Web and Game Engine Tech for 3D Cities

The increasing number of solutions for developing 3D city model applications poses a challenge for developers. This article outlines key considerations that help them to create applications efficiently while utilizing the potential benefits of the 3D data. 3D city modelling has become an established activity in major cities. As a part of this development, city models are increasingly developed to support numerous applications that involve large user groups, such as collaborative urban planning, pedestrian navigation, event planning and the discovery of services and businesses in cities. The 3D city models themselves, produced by cities, public organizations and private companies, are increasingly widely available, in some cases even as open data (Figure 1). Furthermore, thanks to the huge... (read more)
02/10/2020

The Future of Lidar is Critical to the Future of Our World

What will be the future of Lidar? To quote Abraham Lincoln: “The most reliable way to predict the future is to create it”. So what is currently being created in the geospatial market? This article focuses on Lidar in relation to a number of relevant themes: Lidar technology, open data and artificial intelligence/machine learning (AI/ML). Lidar technology is developing rapidly, as illustrated by the number of start-up companies to serve the autonomous market which feature traditional mechanical scanning devices, tiny-chip solid-state Lidar units and the emerging FMCW Lidar. The fact that Apple has announced an iPad with Lidar indicates this technology’s arrival in the public domain; whereas it was a challenge to even explain our industry a few decades ago, now many co... (read more)
02/10/2020

Full Automation in Mobile Lidar Data Classification

A deep learning architecture called MMCN opens up the possibility for the fully automated classification of highly dense 3D point cloud data acquired from a mobile Lidar system. This offers interesting opportunities in applications such as high-density maps, autonomous navigation and highway monitoring. The classification of highly dense 3D point cloud data acquired from a mobile Lidar system (MLS) is essential in applications such as high-density maps, autonomous navigation and highway monitoring. MLS data classification algorithms available in the current literature use several parameters or thresholds. The right selection of these parameters is critical for the success of these algorithms under different conditions. This article provides an insight into a deep learning architecture... (read more)
10/09/2020
 
 
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