Mobile Mapping: Unlocking Spatial Intelligence with Computer Vision

By Fouad Sabry

What is Mobile Mapping

Mobile mapping is the process of collecting geospatial data from a mobile vehicle, typically fitted with a range of GNSS, photographic, radar, laser, LiDAR or any number of remote sensing systems. Such systems are composed of an integrated array of time synchronised navigation sensors and imaging sensors mounted on a mobile platform. The primary output from such systems include GIS data, digital maps, and georeferenced images and video.

How you will benefit

(I) Insights, and validations about the following topics:

Chapter 1: Mobile mapping

Chapter 2: Digital elevation model

Chapter 3: Image analysis

Chapter 4: Photogrammetry

Chapter 5: Geoinformatics

Chapter 6: 3D scanning

Chapter 7: Georeferencing

Chapter 8: GDAL

Chapter 9: SOCET SET

Chapter 10: ILWIS

(II) Answering the public top questions about mobile mapping.

(III) Real world examples for the usage of mobile mapping in many fields.

Who this book is for

Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Mobile Mapping.

• Language: English
• Publisher: One Billion Knowledgeable
• Release date: May 5, 2024

Book preview

Chapter 1: Mobile mapping

The principal outputs of such systems are GIS data, digital maps, and georeferenced photos and video.

The advent of direct reading georeferencing technology made mobile mapping systems possible. GPS and Inertial Navigation Systems have enabled rapid and accurate determination of the position and attitude of remote sensing equipment, enabling immediate mapping of features of interest without requiring extensive post-processing of observed data.

Traditional means for georeferencing aerial photography, ground profiling radar, or Lidar are excessively expensive, especially in remote places or where the nature of the obtained data makes it impossible to analyze specific characteristics. Image direct georeferencing facilitates large-scale mapping control.

Mobile mapping devices enable the rapid collection of data to provide an accurate assessment of the terrain's conditions.

Internet and mobile device users increasingly utilize geo-spatial data in the form of mapping or geo-referenced imagery. Google, Microsoft, and Yahoo have included both satellite and aerial imagery into their online mapping systems. Street View-type photographs are also a growing market.

The combination of GPS and digital camera systems enables the quick update of route maps. The identical system can be used to conduct effective road condition surveys, Mobile LiDAR equipped with a digital imaging system is used to collect data that, after post-processing, creates a strip plan, horizontal and vertical profile, and all other assets within and beyond the ROW, such as adjacent land use and insufficient geometry. This also requires riding quality of pavement, Existing Traffic Characteristics and corridor capacity, Speed-flow-density study, Road Safety Review of the Corridor, Junction and median opening, and Commercial Vehicle Facilities. Thus, all data utilized to create a performance matrix contribute to the identification of corridor efficiency gaps for the prioritization of corridor efficiency-enhancing activities.

Mobile mapping and indoor mapping are being utilized in the development of digital twins. These digital twins may represent a single structure or a whole city or nation. Several mobile mapping firms dubbed as Maker of Digital Twins are attempting to capture the digital twins market as corporations and governments increasingly use digital twins for Internet of Things and Artificial Intelligence applications in the context of the Fourth Industrial Revolution. 4.0 structure.

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^ Digital twin#cite note-:4-1

{End Chapter 1}

Chapter 2: Digital elevation model

A digital elevation model (DEM) or digital surface model (DSM) is a 3D computer graphics representation of elevation data used to depict terrain or overlying objects, typically of a planet, moon, or asteroid. The term global DEM refers to a global discrete grid. DEMs are frequently employed in geographic information systems (GIS) and serve as the most popular foundation for digitally generated relief maps. A digital terrain model (DTM) captures the ground surface explicitly, whereas DEM and DSM may represent tree canopies or building roofs.

A DSM may be useful for landscape modeling, city modeling, and visualization applications, but a DTM is typically necessary for flood or drainage modeling, land-use research, and planetary science.

In scientific literature, there is no consistent usage of the words digital elevation model (DEM), digital terrain model (DTM), and digital surface model (DSM). The majority of the time, the term digital surface model refers to the earth's surface and all objects on it. In contrast to a digital surface model (DSM), a digital terrain model (DTM) depicts the ground surface without any things such as plants or buildings (see the figure on the right). Other versions equate DEM and DTM and define DEM as a subset of DTM, which represents additional morphological elements. The majority of data suppliers (USGS, ERSDAC, CGIAR, and Spot Image) refer to DSMs and DTMs as DEMs. Some datasets, such as SRTM or the ASTER GDEM, were originally DSMs (however, in wooded places, SRTM reaches into the tree canopy, resulting in readings that are intermediate between DSMs and DTMs). Complex methods permit the estimation of a DTM from high-resolution DSM records