Book,
Advances in Mobile Mapping Technologies
(This book is a printed edition of the Special Issue Advances in Mobile Mapping Technologies that was published in Remote Sensing) MDPI, Basel, Switzerland, (March 2022)
DOI: 10.3390/books978-3-0365-3489-3
Abstract
Mobile mapping is applied widely in society, for
example, in asset management, fleet management,
construction planning, road safety, and maintenance
optimization. Yet, further advances in these
technologies are called for. Advances can be
radical, such as changes to the prevailing paradigms
in mobile mapping, or incremental, such as the
state-of-the-art mobile mapping methods. With
current multi-sensor systems in mobile mapping,
laser-scanned data are often registered in point
clouds with the aid of global navigation satellite
system (GNSS) positioning or simultaneous
localization and mapping (SLAM) techniques and then
labeled and colored with the aid of machine learning
methods and digital camera data. These multi-sensor
platforms are beginning to undergo further
advancements via the addition of multi-spectral and
other sensors and via the development of machine
learning techniques used in processing this
multi-modal data. Embedded systems and minimalistic
system designs are also attracting attention, from
both academic and commercial perspectives. In order
to address these topics, we edited the Special Issue
Advances in Mobile Mapping Technologies for the
Remote Sensing journal. This book contains the
published articles of this Special Issue and is
aimed at those in academia and industry
alike. Specifically, it consists of works
introducing a new mobile mapping dataset (‘Paris
CARLA 3D’), system calibration studies, SLAM topics,
and multiple deep learning works for asset
detection. We wish to thank all the authors who
contributed to this collection.
