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In this work we introduce a colour measurement method based on sensor fusion for the complete characterization of LED lighting systems. The measurement information from indirect, high-resolution filter camera measurements is combined with spectral and photometric point measurements. The results of the developed measurement method are angle-resolved chromaticity coordinates as well as angle-resolved spectral information.

Farbmesstechnik, Photometrie, Radiometrie, Leuchtdioden (LED), Sensorfusion,Colour measurement, Photometry, Radiometry, Light-emitting diodes (LED), Sensor fusion

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Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.

UAV automatic landing --- monocular visual SLAM --- autonomous landing area selection --- aerial infrared imagery --- real-time ground vehicle detection --- convolutional neural network --- unmanned aerial vehicle --- quadrotor --- slung load --- disturbance --- harmonic extended state observer --- quadrotor --- super twisting extended state observer (STESO) --- super twisting sliding mode controller (STSMC) --- wind disturbance --- actuator faults --- agricultural UAV --- multi-UAV system --- distributed swarm control --- performance evaluation --- remote sensing --- over-the-horizon air confrontation --- maneuver decision --- Q-Network --- heuristic exploration --- reinforcement learning --- UAV communication system --- data link --- SC-FDM --- peak-to-average power ratio (PAPR) --- modulation --- quadrotor --- ADRC --- fixed-time extended state observer (FTESO) --- high-order sliding mode --- wind disturbance --- actuator fault --- mass eccentricity --- UAS --- aircraft maintenance --- General Visual Inspection --- sensor fusion --- image processing --- flight mechanics --- coaxial-rotor --- UAV --- aircraft --- longitudinal motion model --- decoupling algorithm --- sliding mode control --- UAV --- bio-inspiration --- autonomous control --- horizontal control --- vertical control --- tilt rotors --- nonlinear dynamics --- simulation --- hardware-in-the-loop --- vertical take off --- UAV --- path planning --- adaptive discrete mesh --- octree --- n/a

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Mobile Mapping technologies have seen a rapid growth of research activity and interest in the last years, due to the increased demand of accurate, dense and geo-referenced 3D data. Their main characteristic is the ability of acquiring 3D information of large areas dynamically. This versatility has expanded their application fields from the civil engineering to a broader range (industry, emergency response, cultural heritage...), which is constantly widening. This increased number of needs, some of them specially challenging, is pushing the Scientific Community, as well as companies, towards the development of innovative solutions, ranging from new hardware / open source software approaches and integration with other devices, up to the adoption of artificial intelligence methods for the automatic extraction of salient features and quality assessment for performance verification The aim of the present book is to cover the most relevant topics and trends in Mobile Mapping Technology, and also to introduce the new tendencies of this new paradigm of geospatial science.

cultural heritage --- restoration --- indoor mapping --- laser scanning --- wearable mobile laser system --- 3D digitalization --- SLAM --- visual landmark sequence --- indoor topological localization --- convolutional neural network (CNN) --- second order hidden Markov model --- ORB-SLAM2 --- binary vocabulary --- small-scale vocabulary --- rapid relocation --- terrestrial laser scanning --- tunnel central axis --- tunnel cross section --- enhanced RANSAC --- quadric fitting --- constrained nonlinear least-squares problem --- visual simultaneous localization and mapping --- dynamic environment --- RGB-D camera --- encoder --- OctoMap --- IMMS --- indoor mapping --- MLS --- mobile laser scanning --- SLAM --- point clouds --- 2D laser scanner --- 2D laser range-finder --- LiDAR --- LRF --- sensors configurations --- Lidar localization system --- unmanned vehicle --- segmentation-based feature extraction --- category matching --- multi-group-step L-M optimization --- map management --- indoor mapping --- room type tagging --- semantic enrichment --- grammar --- Bayesian inference --- indoor localization --- crowdsourcing trajectory --- fingerprinting --- smartphone --- mobile mapping --- laser scanning --- self-calibration --- 3D point clouds --- geometric features --- motion estimation --- trajectory fusion --- mobile mapping --- sensor fusion --- optical sensors --- robust statistical analysis --- portable mobile mapping system --- handheld --- 3D processing --- point cloud --- Vitis vinifera --- terrestrial laser scanning --- plant vigor --- mobile mapping --- precision agriculture --- vine size --- visual positioning --- indoor scenes --- automated database construction --- image retrieval

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This Special Issue with 35 published articles shows the significance of the topic “Signal Processing and Analysis of Electrical Circuit”. This topic has been gaining increasing attention in recent times. The presented articles can be categorized into four different areas: signal processing and analysis methods of electrical circuits; electrical measurement technology; applications of signal processing of electrical equipment; fault diagnosis of electrical circuits. It is a fact that the development of electrical systems, signal processing methods, and circuits has been accelerating. Electronics applications related to electrical circuits and signal processing methods have gained noticeable attention in recent times. The methods of signal processing and electrical circuits are widely used by engineers and scientists all over the world. The constituent papers represent a significant contribution to electronics and present applications that can be used in industry. Further improvements to the presented approaches are required for realizing their full potential.

VMD --- signal analysis --- ICEEMD --- IMF --- random noise --- attenuation --- commutator motor --- fault diagnosis --- method --- technique --- signal processing --- acoustic --- Inner and outer product --- tensor --- FPGA --- hardware --- direct digital synthesizer (DDS) --- frequency tuning word (FTW) --- stability --- accuracy --- demodulation --- phase-locked loop --- Chebyshev filter --- measurement noise suppression --- class AB operation --- CMOS --- current mirror --- current buffer --- quasi floating gate --- low power --- CMOS --- dynamic comparator --- offset calibration --- high speed --- low noise --- low power --- ADC --- all-pass filter --- CMOS --- time delay --- broadband --- true-time-delay --- electrochemical impedance spectroscopy --- FRA --- multichannel acquisition --- impedance spectrometry --- microcontroller --- intelligent vehicles --- LiDAR odometry --- range sensing --- simultaneous localization and mapping (SLAM) --- tilt sensor --- sensor data fusion --- complementary filters --- overlap-add processing --- spectral analysis --- variational mode decomposition (VMD) --- duffing chaotic oscillator (DCO) --- permutation entropy (PE) --- feature extraction --- frequency characteristic --- underwater acoustic signal --- ship-radiated noise --- PM/PWM --- capacitance-to-time conversion --- differential capacitive sensor --- brick-wall filter --- fuzzy logic --- induction motor --- Shannon entropy --- short-circuit fault --- APF --- CNFET --- pole-frequency --- chirality --- phase angle --- tuning --- DC–DC converter --- switched capacitor --- power management integrated circuit --- CMOS technology --- frequency standard comparator --- dual Mixing Time difference --- phase difference --- correlation function --- chebyshev polynomial --- compressed sensing --- estimated sparsity --- least squares solution --- stochastic gradient --- reconstruction probability --- direct position determination --- array signal processing --- Doppler shifts --- matrix eigen-perturbation theory --- system errors --- Cramér–Rao bound --- differential power analysis (DPA), SIMON --- fault injection --- double rate --- power randomization --- intention of movement classification --- EMG-Signals --- Support Vector Machines --- asynchronous --- delay cell --- passive resistor --- SAR ADC --- loop delay circuit --- Resistance-to-Period converter --- robust read-out circuits --- ratiometric technique --- Fresnel lens --- wingbeat --- insects --- optoelectronics --- bees --- wasps --- fruit flies --- e-traps --- analog-to-digital converter --- successive approximation register --- direct sampling --- time-interleaved --- channel-selection-embedded bootstrap --- segmented pre-quantization and bypass --- LVDS --- high-speed serial interface --- transmitter --- receiver --- low-power --- image fusion --- multi-sensor fusion --- night vision --- hierarchical heterogeneous multi-DAG workflow --- multigroup scan --- ultrasonic phased array --- heterogeneous earliest finish time --- resolver --- discrete wavelet transform --- singular value decomposition --- automatic calibration --- noise reduction --- ripple voltage measurement --- DAC --- comparator --- peak-ripple estimation --- binary search --- low-cost --- secret image sharing --- digital image --- n-out-of-n scheme --- color palette --- colluder attack --- image restoration --- impulse noise --- ADMM --- HOCTVL1 --- spatially adapted regularization parameter --- rod electrode --- electrostatic induction --- method of images --- induced charge --- induced current --- 3D-IC design --- NILT --- TSV noise coupling --- RDL --- chain matrix --- interconnect line --- n/a