Application of Multi-Sensor Fusion Technology in Target Detection and Recognition
| 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 online resource (168 p.) |
| Soggetto topico | Information technology industries |
| Soggetto non controllato |
automated image analysis
autonomous autonomous marine navigation autonomous vehicles AUV co-operative convolutional neural network convolutional neural networks deep chlorophyll maximum deep learning EKF inversion ITCOMP-SOM light field machine learning MAREDAT marine environment maritime vessel dataset multi-platform imaging multi-robot multi-sensor fusion multispectral polarimetric imagery object based map object detection ocean colour phytoplankton pigment vertical profile pigments Self Organizing Maps semantic SLAM ship detection spectral library spectral matching specular reflection detection specular reflection inpainting Tara Oceans target detection terrestrial-hyperspectral imagery transparent object USV YOLOv3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557613903321 |
Heikkonen Jukka
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Transportation Related Complex Systems and Sensors
| Intelligent Transportation Related Complex Systems and Sensors |
| Autore | Kyamakya Kyandoghere |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (494 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
abnormal road surface
acceleration sensor adaptive feature extractor advanced traveler information systems (ATIS) amplitude modulation artificial neural networks artificial potential field automatic rail-surface-scratch recognition and computation autonomous vehicle bicycle sharing systems BSS underlying network complete closed mesh model connected vehicles contrast enhancement convolutional neural networks crash risk modeling dark channel prior data visualization data-driven classification of trips decentralized control deep neural network descriptive analytics driving emotions driving safety driving simulator studies driving stress EKF expectation maximization frequency modulation game theory Gaussian background model hazardous materials heart rate highway safety human-like hyper parameter optimization image dehazing in-cylinder pressure identification intelligent transportation systems Intelligent Transportation Systems (ITS) ITS ITS services Kalman filter large-scale network control level of market penetration rate license plate data lifestyle low-cost sensor machine learning matrix inversion metro microscopic traffic data model predictive control n/a neural artistic extraction neural network noise problem in time-varying matrix inversion objectification obstacle avoidance online rail-repair operations research particle filter plate scanning predictive analytics prescriptive analytics probe vehicle public transport systems railway intrusion detection railway maintenance real world experiment real-time estimation real-time fast computing recurrent neural network (RNN) ride comfort RNN-based solver road safety road surface recognition route choice behavior safety performance function scene recognition scene segmentation sensor location problem sensor synchronization sensors shortest path problem simulation smartphone sensing spatial-temporal correlation spatio-temporal traffic modeling speed iteration model subjective evaluation surrogate safety measures time-varying matrix traffic density traffic flow estimation traffic modelling traffic signal control traffic state prediction traffic video dehazing trajectory reconstruction transportation travel time information system triangulation algorithm trip chain trip index trucking turning state transit urban rail transit interior noise user flow forecast variable speed limits vehicle matching vehicle routing problem vehicle trajectory prediction XGBoost classifier |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557345603321 |
Kyamakya Kyandoghere
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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