05230nam 2201285z- 450 991055738480332120210501(CKB)5400000000042051(oapen)https://directory.doabooks.org/handle/20.500.12854/68433(oapen)doab68433(EXLCZ)99540000000004205120202105d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierIntelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart CitiesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (266 p.)3-0365-0122-3 3-0365-0123-1 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.History of engineering and technologybicssc5G IoTautomatic fare collection systemautomotive LFMCW radarblock-level once sliding detection windowcalibrationcar-followingclassificationclusteringcompasscontinuous-time modelcooperative approachdata fusiondecision-makingdeep learningDoppler-frequency estimationensemble learningexploitation and explorationextended target trackingextreme learning machineFireworks Algorithmfuzzy inferencefuzzy logicgamma-Gaussian-inverse WishartGNSSGrey Wolf Optimizerhistogram of oriented gradienthybrid algorithmindoor positioningInternet of ThingsKalman filterlaser range finderlaser simulatorlateral velocitylocal maplocalizationLoRaLoRaWANmap matchingmicroscopic traffic modelMIMUmulti-shape detection-windownavigationobject-detection coprocessorodometerodometrypassenger flow forecastingpath panningPoisson multi-Bernoulli mixturepositioningpositioning accuracypower efficiencyradial velocityrange-only SLAMsensor datasensor fusionsignal modelsimultaneous localization and mapping (SLAM)single access point positioningsingular spectrum analysissmart community systemsoftmaxstate constraintssum of Gaussian (SoG) filtersupport vector machineTakagi-Sugenotarget detectionTDoAtensor modelingtime series decompositiontrackingwaveformwheeled mobile robotWi-Fi cameraHistory of engineering and technologyLi Tianchengedt1312120Yan JunkunedtCao YueedtBajo JavieredtLi TianchengothYan JunkunothCao YueothBajo JavierothBOOK9910557384803321Intelligent Sensors for Positioning, Tracking, Monitoring, Navigation and Smart Sensing in Smart Cities3030713UNINA