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Mario Lukas beleuchtet in seinem Buch "Das 3D-Scanner-Praxisbuch" das gesamte moderne Wissens- und Erfahrungsspektrum zum Thema „3D-Scanner“. Er erklärt leicht verständlich die technischen Voraussetzungen für das 3D-Scanning, beschreibt die unterschiedlichen technischen Verfahren und testet die auf dem Markt befindlichen aktuellen 3D-Scanner. Im Praxisteil des Buches beschreibt der Autor ausführlich in Schritt-für-Schritt-Anleitungen den Bau eines Laser-Scanners aus einem Raspberry Pi und einer Raspberry-Pi-Camera sowie den Bau eines Scanners für große Objekte und Personen mit einer Kinect-Videospielkonsole. Die Software-Bearbeitungskette im Post-Scanning-Prozess zur Erzielung hochwertiger Scan-Ergebnisse machen das Buch zu einem Standardwerk des 3D-Scannings.

3D-Druck --- 3D --- Fotogrammetrie --- Raspberry Pi --- Scannen --- CNC-Fräse --- 3D-Modelle --- ArcheOS --- FabScanPi --- Kinect --- Laser-Scanner

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This Special Issue presents a selection of current solutions for vehicle surroundings perception systems. This perception is essential for many advanced driver application systems and autonomous driving, and there are currently several challenges that need addressing. Perception can be obtained using on-board sensors, but, due to their limitations, the development of sensor fusion techniques or specific algorithms is needed. Vehicle positioning is also important, but further refined accuracy and specific requirements arise with each new application. Apart from on-board sensors, wireless communication can provide information from a larger electronic horizon that can be used for better decision making. Finally, all this information can be used to enhance development of autonomous driving

Computer vision --- Obstacles detection --- Connected vehicles --- Vehicle surroundings supervision --- Vehicle surroundings reconstruction --- Visual SLAM --- Autonomous driving --- V2X communications --- Driver assistance systems --- Laser scanner --- Data fusion --- Trajectory estimation --- Cooperative driving

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This book brings together a total of six papers in an interdisciplinary way at the border of natural disasters and cultural heritage. There is a need for studying and documenting cultural heritage in Arctic landscapes, as these are the most affected by climate change. Remote sensing represents a powerful tool in the monitoring, management and safeguarding of cultural heritage. Sites included in the UNESCO World Heritage List should receive more attention from both geoscientists and social scientists. Urbanization has a short- and long-lasting effect on the conservation of cultural heritage.

Humanities --- Social interaction --- Social & cultural anthropology, ethnography --- cultural heritage --- frequency ratio --- AUC --- predictive modelling --- GIS --- Kvamme’s Gain --- north-eastern Romania --- coastal erosion --- shoreline --- monitoring --- geomorphological mapping --- Svalbard --- DSAS --- high Arctic --- muqarnas --- Alhambra --- graphic analysis --- drawings --- 3D laser scanner --- historical images --- UNESCO --- Spain --- erosion --- Beothuk --- GRASS --- photogrammetry --- UAV --- Newfoundland --- remote sensing --- Earth observation --- satellite imagery --- multi-temporal analysis --- urban heat island --- persistent scatterer interferometry --- long-term monitoring --- cultural heritage assessment --- Alba Iulia (Apulum) --- LiDAR --- satellite image --- aerial image --- High North

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In the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools.

Medicine --- structural health monitoring --- jointless bridge --- high-speed railway --- bearing --- expansion device --- displacement analysis --- structural reliability estimation --- modal identification --- finite element model updating --- cyber-physical systems --- crowdsourcing --- temperature effects --- time-lag effect --- Fourier series expansion --- box-girder bridges --- structural engineering --- overall deformation monitoring --- perspective transformation --- edge detection --- close-range photogrammetry --- railway embankment --- condition assessment --- ground penetrating radar --- multi-attribute utility theory --- laser scanner --- line scanner --- structure monitoring --- deformation --- dynamic measurements --- scan-to-BIM --- point cloud --- HBIM --- FEM --- Rhinoceros --- terrestrial laser scanner (TLS) --- ground-based real aperture radar (GB-RAR) --- vibration frequency --- spectral analysis --- displacement --- structural health monitoring (SHM) --- vibration-based damage detection --- system identification --- subspace system identification (SSI) --- tie rod --- natural frequencies --- mode shapes --- root-mean-square error (RMSE) --- environmental monitoring --- long-range mapping --- MMS --- sub-millimetric EDM geodetic techniques --- damage detection --- damage localization --- hybrid approach --- neural network --- timber bridges --- stress-laminated timber decks --- monitoring --- humidity-temperature sensors --- wood moisture content --- multi-phase models --- finite element method --- moving load identification --- strain influence line --- load transverse distribution --- strain integral coefficient --- identification error --- structural health monitoring --- jointless bridge --- high-speed railway --- bearing --- expansion device --- displacement analysis --- structural reliability estimation --- modal identification --- finite element model updating --- cyber-physical systems --- crowdsourcing --- temperature effects --- time-lag effect --- Fourier series expansion --- box-girder bridges --- structural engineering --- overall deformation monitoring --- perspective transformation --- edge detection --- close-range photogrammetry --- railway embankment --- condition assessment --- ground penetrating radar --- multi-attribute utility theory --- laser scanner --- line scanner --- structure monitoring --- deformation --- dynamic measurements --- scan-to-BIM --- point cloud --- HBIM --- FEM --- Rhinoceros --- terrestrial laser scanner (TLS) --- ground-based real aperture radar (GB-RAR) --- vibration frequency --- spectral analysis --- displacement --- structural health monitoring (SHM) --- vibration-based damage detection --- system identification --- subspace system identification (SSI) --- tie rod --- natural frequencies --- mode shapes --- root-mean-square error (RMSE) --- environmental monitoring --- long-range mapping --- MMS --- sub-millimetric EDM geodetic techniques --- damage detection --- damage localization --- hybrid approach --- neural network --- timber bridges --- stress-laminated timber decks --- monitoring --- humidity-temperature sensors --- wood moisture content --- multi-phase models --- finite element method --- moving load identification --- strain influence line --- load transverse distribution --- strain integral coefficient --- identification error

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Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.

normalized difference vegetation index (NDVI) --- SRTMGL1 --- SPOT-6 --- urban ecology --- terrestrial laser scanner --- Lantana camara --- terrestrial laser scanning --- harvester --- product recovery --- imputation --- optimization --- multi-spectral --- function --- ZiYuan-3 stereo images --- spatial noise --- 3D remote sensing --- tree measurement --- diameter at breast height (DBH) --- DSM --- metabolic scale theory --- municipal forestry --- digital photogrammetry --- Norway spruce --- missing observations --- interrater agreement --- measurement error --- stump height --- Fractional cover analysis --- google earth engine --- high-voltage power transmission lines --- habitat fragmentation --- codispersion coefficient --- forest fire --- tree height --- nu SVR --- RapidEye --- uneven-aged mountainous --- random Hough transform --- kriging --- street trees --- ground validation --- Google Street View --- laser --- species identification --- composition --- maximum forest heights --- mountainous areas --- landscape fragmentation --- Landsat 8 --- forest canopy height --- allometric scaling and resource limitation model --- urban forestry --- point cloud --- GSV --- stump diameter --- structure --- 3D --- codispersion map --- forest ecology --- polarimetery --- crowdsourced data