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Book
Omnidirectional Stereo Vision for Autonomous Vehicles
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ISBN: 1000046298 3731503573 Year: 2014 Publisher: KIT Scientific Publishing

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Abstract

Environment perception with cameras is an important requirement for many applications for autonomous vehicles and robots. This work presents a stereoscopic omnidirectional camera system for autonomous vehicles which resolves the problem of a limited field of view and provides a 360° panoramic view of the environment. We present a new projection model for these cameras and show that the camera setup overcomes major drawbacks of traditional perspective cameras in many applications.


Book
Visual and Camera Sensors
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book includes 13 papers published in Special Issue ("Visual and Camera Sensors") of the journal Sensors. The goal of this Special Issue was to invite high-quality, state-of-the-art research papers dealing with challenging issues in visual and camera sensors.


Book
Innovations in Photogrammetry and Remote Sensing : Modern Sensors, New Processing Strategies and Frontiers in Applications
Authors: ---
Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.


Book
Machine Learning in Sensors and Imaging
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Year: 2022 Publisher: Basel MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications. This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.

Keywords

star image --- image denoising --- reinforcement learning --- maximum likelihood estimation --- mixed Poisson–Gaussian likelihood --- machine learning-based classification --- non-uniform foundation --- stochastic analysis --- vehicle–pavement–foundation interaction --- forest growing stem volume --- coniferous plantations --- variable selection --- texture feature --- random forest --- red-edge band --- on-shelf availability --- semi-supervised learning --- deep learning --- image classification --- machine learning --- explainable artificial intelligence --- wildfire --- risk assessment --- Naïve bayes --- transmission-line corridors --- image encryption --- compressive sensing --- plaintext related --- chaotic system --- convolutional neural network --- color prior model --- object detection --- piston error detection --- segmented telescope --- BP artificial neural network --- modulation transfer function --- computer vision --- intelligent vehicles --- extrinsic camera calibration --- structure from motion --- convex optimization --- temperature estimation --- BLDC --- electric machine protection --- touchscreen --- capacitive --- display --- SNR --- stylus --- laser cutting --- quality monitoring --- artificial neural network --- burr formation --- cut interruption --- fiber laser --- semi-supervised --- fuzzy --- noisy --- real-world --- plankton --- marine --- activity recognition --- wearable sensors --- imbalanced activities --- sampling methods --- path planning --- Q-learning --- neural network --- YOLO algorithm --- robot arm --- target reaching --- obstacle avoidance


Book
Imaging Sensors and Applications
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In past decades, various sensor technologies have been used in all areas of our lives, thus improving our quality of life. In particular, imaging sensors have been widely applied in the development of various imaging approaches such as optical imaging, ultrasound imaging, X-ray imaging, and nuclear imaging, and contributed to achieve high sensitivity, miniaturization, and real-time imaging. These advanced image sensing technologies play an important role not only in the medical field but also in the industrial field. This Special Issue covers broad topics on imaging sensors and applications. The scope range of imaging sensors can be extended to novel imaging sensors and diverse imaging systems, including hardware and software advancements. Additionally, biomedical and nondestructive sensing applications are welcome.

Keywords

fluorescence LiDAR --- laser-induced fluorescence --- vegetation monitoring --- classification discrimination --- 3D measurement --- fringe projection --- 3D Fourier transform --- phase unwrapping --- phase measurement --- ultrasound --- photoacoustic imaging --- photoacoustic microscopy --- biomedical imaging --- multifocal point transducer --- wave patterns --- analytical model --- directivity pattern --- guided wave (GW) --- non-destructive testing (NDT) --- macro-fiber composite (MFC) --- transducer --- elastography --- soft tissue --- nonlinearity --- viscoelasticity --- acoustic emission --- hydrogel --- nanosilica --- transcranial --- skull bone --- aberration --- photoacoustic --- distortion --- brain imaging --- balloon catheter --- image guiding --- medical diagnostic imaging --- ultrasonic imaging --- abdominal ultrasound --- plane wave imaging --- diverging wave imaging --- synthetic focusing --- back muscle stiffness --- spine --- elasticity --- shear-wave elastography (SWE) --- tissue ultrasound palpation system (TUPS) --- reliability --- Young’s modulus --- carfilzomib --- peripheral vasculature --- quantitative analysis --- transrectal probe --- optical lens --- ultrasound imaging --- prostate cancer --- optical coherence tomography --- quad-scanner scanning strategy --- whole-directional scanning --- full-directional imaging --- IoT --- remote control --- remote operation --- remote sharing economy --- research equipment sharing --- two-photon laser scanning microscopy --- MQTT --- deep learning --- ensemble learning --- brain tumor classification --- machine learning --- transfer learning --- around view monitoring system --- automatic camera calibration --- vision-based advanced driver assistance systems --- high-frequency ultrasound --- ophthalmic imaging --- synthetic aperture --- convex array transducer --- bandwidth expander --- ultrasound transducer device --- power amplifier --- super-resolution --- clinical applications --- n/a --- Young's modulus

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