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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.This book contains the accepted publications of the Special Issue 'Advances in Mobile Mapping Technologies' of the Remote Sensing journal. 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, the Guest Editors, Ville Lehtola from University of Twente, Netherlands, Andreas Nüchter from University of Würzburg, Germany, and François Goulette from Mines Paris- PSL University, France, wish to thank all the authors who contributed to this collection.

Technology: general issues --- History of engineering & technology --- LiDAR --- RetinaNet --- inception --- Mobile Laser Scanning --- point clouds --- data fusion --- Lidar --- point cloud density --- point cloud coverage --- mobile mapping systems --- 3D simulation --- Pandar64 --- Ouster OS-1-64 --- mobile laser scanning --- lever arm --- boresight angles --- plane-based calibration field --- configuration analysis --- accuracy --- controllability --- evaluation --- control points --- TLS reference point clouds --- visual–inertial odometry --- Helmert variance component estimation --- line feature matching method --- correlation coefficient --- point and line features --- mobile mapping --- manhole cover --- point cloud --- F-CNN --- transfer learning --- CAM localization --- loop closure detection --- visual SLAM --- semantic topology graph --- graph matching --- CNN features --- deep learning --- view planning --- imaging network design --- building 3D modelling --- path planning --- V-SLAM --- real-time --- guidance --- embedded-systems --- 3D surveying --- exposure control --- photogrammetry --- parking statistics --- vehicle detection --- robot operating system --- 3D camera --- RGB-D --- performance evaluation --- convolutional neural networks --- smart city --- georeferencing --- MSS --- IEKF --- DSIEKF --- geometrical constraints --- 6-DoF --- DTM --- 3D city model --- dataset --- laser scanning --- 3D mapping --- synthetic --- outdoor --- semantic --- scene completion

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This book presents interesting samples of theoretical and practical advances of symmetry in multidisciplinary engineering applications. It covers several applications, such as accessibility and traffic congestion management, path planning for mobile robots, analysis of shipment service networks, fault diagnosis methods in electrical circuits and electrical machines, geometrical issues in architecture, geometric modeling and virtual reconstruction, design of noise detectors, filters, and segmentation methods for image processing, and cyclic symmetric structures in turbomachinery applications, to name but a few. The contributions included in this book depict the state of the art in this field and lay the foundation for the possibilities that the study of symmetry has in multidisciplinary applications in the field of engineering.

edge preserving --- fault diagnosis --- accessibility --- urban traffic planning --- sensitivity analysis --- graphic modelling --- Coalbrookdale (Shropshire) --- mobile robot --- asymmetry --- convexity/concavity --- flying buttresses --- vibration --- time-space network --- linearization technique --- friction damping --- adaptive threshold --- ring damper --- broad learning model --- Hilbert transform --- express shipment --- symmetry --- traffic control --- railcar flow distribution --- optimization --- industrial archaeology --- high order urban hospitals (HOUHs) --- thin-walled gear --- rampant arch --- traffic congestion --- railway transportation --- robots --- virtual reconstruction --- feature selection --- geometric modeling --- path search --- industrial heritage --- weighted mean filter --- topology --- A* algorithm --- traffic forecasting --- feature interaction --- classification --- peaks distribution --- rolling bearings --- noise detector --- 3D slicer --- inclined plane --- computing applications --- environmental modeling --- extension --- service network design --- evaluation model --- anomaly detection --- random forest --- local preserving projection --- complex networks --- computer engineering --- electronic devices --- BP neural network --- mechanical structures --- segmentation --- lifting wavelet --- semi-supervised random forest --- railway network --- cathedral --- local monotonicity --- aged --- optimum --- path planning --- local data features --- local inflection --- conditional mutual information --- energy dissipation --- support vector machine --- variational mode decomposition --- Agustín de Betancourt --- optimization criteria --- tumor --- trip impedance based on public transportation --- Fisher linear discriminant analysis --- synchronization --- clustering --- geometry --- electrical circuits --- random value impulse noise

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Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Reacutenyi Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.

hydrological risk analysis --- modeling --- water level --- Poyang Lake basin --- trend --- composite multiscale sample entropy --- flood frequency analysis --- canopy flow --- precipitation --- water resources --- complex systems --- frequency analysis --- optimization --- combined forecast --- neural network forecast --- entropy spectral analysis time series analysis --- environmental engineering --- hydrometric network --- sea surface temperature --- kernel density estimation --- robustness --- turbulent flow --- entropy production --- connection entropy --- flux concentration relation --- turbulence --- tropical rainfall --- generalized gamma (GG) distribution --- multi-events --- El Niño --- joint entropy --- entropy weighting method --- Anhui Province --- changing environment --- complexity --- multiplicative cascades --- Tsallis entropy --- Hexi corridor --- coherent structures --- water resources vulnerability --- uncertainty --- variability --- flow entropy --- Hei River basin --- fuzzy analytic hierarchy process --- substitute --- crop yield --- conditional entropy production --- entropy --- flow duration curve --- mean annual runoff --- temperature --- hydrometeorological extremes --- resilience --- Loess Plateau --- information entropy --- scaling --- water distribution networks --- cross entropy --- randomness --- forewarning model --- entropy applications --- quaternary catchment --- spatio-temporal variability --- probability distribution function --- ant colony fuzzy clustering --- radar --- continuous probability distribution functions --- Shannon entropy --- informational entropy --- information --- confidence intervals --- marginal entropy --- rainfall forecast --- entropy of information --- streamflow --- power laws --- bootstrap aggregating --- maximum entropy-copula method --- spatial and dynamics characteristic --- projection pursuit --- set pair analysis --- entropy theory --- water resource carrying capacity --- entropy parameter --- precipitation frequency analysis --- principle of maximum entropy --- information theory --- stochastic processes --- network design --- complement --- cross elasticity --- climacogram --- methods of moments --- hydrology --- bagging --- principle of maximum entropy (POME) --- rainfall network --- entropy ensemble filter --- ensemble model simulation criterion --- Lagrangian function --- Beta-Lognormal model --- cross-entropy minimization --- ANN --- configurational entropy --- variation of information --- statistical scaling --- EEF method --- water monitoring --- maximum likelihood estimation --- GB2 distribution --- NDVI --- four-parameter exponential gamma distribution --- hydraulics --- spatial optimization --- Kolmogorov complexity --- bootstrap neural networks --- mutual information --- accelerating genetic algorithm --- groundwater depth --- rainfall --- tropical Pacific --- water engineering --- monthly streamflow forecasting --- ENSO --- nonlinear relation --- Bayesian technique --- non-point source pollution --- Burg entropy --- data-scarce --- scaling laws --- soil water content --- arid region --- land suitability evaluation --- information transfer