Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities

• Autore: Li Tiancheng
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (266 p.)
• Soggetto topico: History of engineering and technology
• Soggetto non controllato: 5G IoT; automatic fare collection system; automotive LFMCW radar; block-level once sliding detection window; calibration; car-following; classification; clustering; compass; continuous-time model; cooperative approach; data fusion; decision-making; deep learning; Doppler-frequency estimation; ensemble learning; exploitation and exploration; extended target tracking; extreme learning machine; Fireworks Algorithm; fuzzy inference; fuzzy logic; gamma-Gaussian-inverse Wishart; GNSS; Grey Wolf Optimizer; histogram of oriented gradient; hybrid algorithm; indoor positioning; Internet of Things; Kalman filter; laser range finder; laser simulator; lateral velocity; local map; localization; LoRa; LoRaWAN; map matching; microscopic traffic model; MIMU; multi-shape detection-window; navigation; object-detection coprocessor; odometer; odometry; passenger flow forecasting; path panning; Poisson multi-Bernoulli mixture; positioning; positioning accuracy; power efficiency; radial velocity; range-only SLAM; sensor data; sensor fusion; signal model; simultaneous localization and mapping (SLAM); single access point positioning; singular spectrum analysis; smart community system; softmax; state constraints; sum of Gaussian (SoG) filter; support vector machine; Takagi-Sugeno; target detection; TDoA; tensor modeling; time series decomposition; tracking; waveform; wheeled mobile robot; Wi-Fi camera
• Persona (resp. second.): YanJunkun; CaoYue; BajoJavier; LiTiancheng
• Sommario/riassunto: 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.
• Titolo autorizzato: Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557384803321
• Lo trovi qui: Univ. Federico II