November-December 2019

GIM International November-December 2019 cover

Mobile mapping systems are employed to acquire high-definition mapping data of the environment. The demand for 3D maps of cities and road networks is steadily increasing and mobile mapping systems are often the preferred acquistion method for capturing such scenes. [Image courtesy: WGI -]

A selection of articles:

- P. 15: Night-time Mobile Mapping of Road Surface Luminance
- P. 19: Laser Scanning of Damaged Historical Icons
- P. 22: The Rotterdam 3D City Model
- P. 26: Downtown Dublin as a Lidar Point Cloud
- P. 32: Using PPP Corrections in Precise Real-time Applications

Laser Scanning of Damaged Historical Icons

Laser Scanning of Damaged Historical IconsTerrestrial laser scanning is becoming an increasingly preferred surveying technique for the 3D documentation of historical buildings. 3D point clouds provide a wealth of information which advanced 3D mapping software can exploit in a relatively simple way, at least when compared to the tedious surveying techniques of the past. However, effective cooperation between architects and the survey team of experts is necessary in order to get the best out of this geodata acquisition technology. In this article, the authors first provide an overview of equipment based on the size of the site and the surveying aim, and subsequently give four examples of how terrestrial laser scanning can benefit the restoration of historical buildings. Read on...

Street-level Laser Point Clouds

Mobile Mapping Point Clouds and ImageryDid you know that you can waste a week or more per year hunting for a parking space in busy cities? Nowadays, smart parking apps offer a much-needed answer to the problem – and mobile mapping point clouds and imagery are core ingredients of the solution. Besides saving time by guiding you straight to an available spot close to your destination, smart parking apps also reduce unnecessary fuel consumption, air pollution and greenhouse gas emissions. One such app is AppyParking by London-based AppyWay. Read on...

The Rotterdam 3D City Model

Digital City RotterdamIf 3D is becoming the new normal in spatial data infrastructures, how can it be used in an urban environment? The Dutch city of Rotterdam is preparing for that next step by developing a digital twin of the physical city. The primary aim of ‘Digital City Rotterdam’ is to improve the efficiency of urban planning and management. But at the same time the city council is on the lookout for applications that will help people integrate the digital world into their real one – or will it be the other way around in the not-so-distant future? Read on...

Downtown Dublin as a Lidar Point Cloud

Dublin as a Lidar Point CloudThe 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 Lidar dataset that was generated in 2019. The labelled dataset was produced from Lidar data of Dublin that was captured alongside aerial images of Dublin in 2015. Both datasets are publicly available and their URLs are included in this article. Read on...

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