Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in art...
Na minha lista:
| Formato: | Online |
|---|---|
| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
|
| Assuntos: | |
| Acesso em linha: | ONIX_20210501_9783036501222_179 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|
| _version_ | 1869519571040337920 |
|---|---|
| collection | Directory of Open Access Books |
| description | The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing. |
| format | Online |
| id | doab-20.500.12854ir-68433 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-684332024-04-11T15:11:34Z Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities Li, Tiancheng Yan, Junkun Cao, Yue Bajo, Javier clustering data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing. 2021-05-01T15:09:35Z 2021-05-01T15:09:35Z 2021 book ONIX_20210501_9783036501222_179 9783036501222 9783036501239 https://directory.doabooks.org/handle/20.500.12854/68433 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/3450 https://mdpi.com/books/pdfview/book/3450 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-0123-9 10.3390/books978-3-0365-0123-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036501222 9783036501239 266 Basel, Switzerland open access |
| spellingShingle | clustering data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title | Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title_full | Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title_fullStr | Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title_full_unstemmed | Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title_short | Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities |
| title_sort | intelligent sensors for positioning tracking monitoring navigation and smart sensing in smart cities |
| topic | clustering data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | clustering data fusion target detection Grey Wolf Optimizer Fireworks Algorithm hybrid algorithm exploitation and exploration GNSS MIMU odometer state constraints simultaneous localization and mapping (SLAM) range-only SLAM sum of Gaussian (SoG) filter cooperative approach automatic fare collection system passenger flow forecasting time series decomposition singular spectrum analysis ensemble learning extreme learning machine wheeled mobile robot path panning laser simulator fuzzy logic laser range finder Wi-Fi camera sensor fusion local map odometry deep learning softmax decision-making classification sensor data Internet of Things extended target tracking gamma-Gaussian-inverse Wishart Poisson multi-Bernoulli mixture 5G IoT indoor positioning tracking localization navigation positioning accuracy single access point positioning fuzzy inference calibration car-following Takagi–Sugeno Kalman filter microscopic traffic model continuous-time model LoRa positioning LoRaWAN TDoA map matching compass automotive LFMCW radar radial velocity lateral velocity Doppler-frequency estimation waveform signal model tensor modeling smart community system power efficiency object-detection coprocessor histogram of oriented gradient support vector machine block-level once sliding detection window multi-shape detection-window thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783036501222_179 |