Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments |
Autore | Woźniak Marcin |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (454 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
Traffic sign detection and tracking (TSDR)
advanced driver assistance system (ADAS) computer vision 3D convolutional neural networks machine learning CT brain brain hemorrhage visual inspection one-class classifier grow-when-required neural network evolving connectionist systems automatic design bio-inspired techniques artificial bee colony image analysis feature extraction ship classification marine systems citrus pests and diseases identification convolutional neural network parameter efficiency vehicle detection YOLOv2 focal loss anchor box multi-scale deep learning neural network generative adversarial network synthetic images tool wear monitoring superalloy tool image recognition object detection UAV imagery vehicular traffic flow detection vehicular traffic flow classification vehicular traffic congestion video classification benchmark semantic segmentation atrous convolution spatial pooling ship radiated noise underwater acoustics surface electromyography (sEMG) convolution neural networks (CNNs) hand gesture recognition fabric defect mixed kernels cross-scale cascaded center-ness deformable localization continuous casting surface defects 3D imaging defect detection object detector object tracking activity measure Yolo deep sort Hungarian algorithm optical flows spatiotemporal interest points sports scene CT images convolutional neural networks hepatic cancer visual question answering three-dimensional (3D) vision reinforcement learning human-robot interaction few shot learning SVM CNN cascade classifier video surveillance RFI artefacts InSAR image processing pixel convolution thresholding nearest neighbor filtering data acquisition augmented reality pose estimation industrial environments information retriever sensor multi-hop reasoning evidence chains complex search request high-speed trains hunting non-stationary feature fusion multi-sensor fusion unmanned aerial vehicles drone detection UAV detection visual detection |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557360703321 |
Woźniak Marcin | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Application of Multi-Sensor Fusion Technology in Target Detection and Recognition |
Autore | Heikkonen Jukka |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (168 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
target detection
multi-platform imaging spectral matching terrestrial-hyperspectral imagery automated image analysis spectral library multi-sensor fusion object detection deep learning convolutional neural networks autonomous vehicles marine environment co-operative autonomous multi-robot USV AUV semantic SLAM YOLOv3 object based map EKF specular reflection detection specular reflection inpainting transparent object multispectral polarimetric imagery light field maritime vessel dataset ship detection convolutional neural network autonomous marine navigation machine learning inversion ocean colour phytoplankton pigment vertical profile deep chlorophyll maximum Tara Oceans MAREDAT pigments ITCOMP-SOM Self Organizing Maps |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557613903321 |
Heikkonen Jukka | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Integrated Applications of Geo-Information in Environmental Monitoring |
Autore | Wu Weicheng |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (220 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
earthquake
damaged groups of buildings classification remote sensing images Convolution Neural Network (CNN) block vector data shoreline change landsat planet scope coastline morphological changes building extraction improved anchor-free instance segmentation high-resolution remote sensing images deep learning land use/land cover (LULC) GF-6 WFV object-oriented change detection double constraints REE mines mining and restoration assessment indicators (MRAIs) damage time trajectory effectiveness of management aeolian process desertification multi-sensor fusion interferometric SAR time-series analysis mussel farming high-resolution image transitional water management environmental pollution open source software synthetic aperture radar (SAR) target sea surface multiple scattering geo-hazard mapping Gaofen-1 satellite land cover environmental factors susceptibility post-classification differencing generalized difference vegetation index (GDVI) multiple linear regression logistic regression |
ISBN | 3-0365-5756-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637782003321 |
Wu Weicheng | ||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Integrierte Multi-Sensor-Fusion für die simultane Lokalisierung und Kartenerstellung für mobile Robotersysteme |
Autore | Emter Thomas |
Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2021 |
Descrizione fisica | 1 electronic resource (272 p.) |
Collana | Karlsruher Schriften zur Anthropomatik |
Soggetto topico | Maths for computer scientists |
Soggetto non controllato |
Mobile Robotersysteme
Multi-Sensor-Fusion Lokalisierung Kartierung SLAM Mobile robotic systems multi-sensor fusion localization mapping |
ISBN | 1000128137 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Record Nr. | UNINA-9910493737803321 |
Emter Thomas | ||
Karlsruhe, : KIT Scientific Publishing, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Visual and Camera Sensors |
Autore | Park Kang Ryoung |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (274 p.) |
Soggetto topico | Information technology industries |
Soggetto non controllato |
self-assembly device
3D point clouds accuracy analysis VSLAM-photogrammetric algorithm portable mobile mapping system low-cost device BIM camera calibration DLT PnP weighted DLT uncertainty covariance robustness visual-inertial semi-direct SLAM multi-sensor fusion side-rear-view monitoring system automatic online calibration Hough-space unmanned aerial vehicle autonomous landing deep-learning-based motion deblurring and marker detection network slimming pruning model convolutional neural network convolutional filter classification multimodal human recognition blur image restoration DeblurGAN CNN facial expression recognition system computer vision multi-scale featured local binary pattern unsharp masking machine learning lens distortion DoF-dependent distortion partition vision measurement pathological site classification in vivo endoscopy computer-aided diagnosis artificial intelligence ensemble learning convolutional auto-encoders local image patch point pair feature plank recognition robotic grasping flying object detection drone image processing camera networks open-pit mine slope monitoring optimum deployment close range photogrammetry three-dimensional reconstruction OCD4M |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557360203321 |
Park Kang Ryoung | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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