05728nam 2201717z- 450 991055733300332120220111(CKB)5400000000042549(oapen)https://directory.doabooks.org/handle/20.500.12854/76759(oapen)doab76759(EXLCZ)99540000000004254920202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierRecent Advances in Indoor Localization Systems and TechnologiesBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (502 p.)3-0365-1483-X 3-0365-1484-8 Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.Technology: general issuesbicssc5G systemAccess Point Selectionadaptive filteradaptive Kalman filterassistive technologyautomated data acquisitionautomated progress reportingautoregressive modelazimuth estimationbearing estimationBluetooth Low EnergyC-Meanscarrier phasechannel state informationclosed-form solutioncomputer visionCramer-Rao lower bounddata fusiondeep learningdeep neural network (DNN)differential pseudolite systemDWM1000extended kalman filterextended Kalman filterfeature extractionfilterfingerprintingfinite memory structurefusion navigationGaussian modelgenetic algorithmgeomagnetic positioninggeometric dilution of precisionGPS signalheading estimationhidden Markov models (HMM)hybrid localizationhybrid positioningI/O detectionindoor localizationindoor localization technologiesindoor location recognitionindoor navigationindoor positioningIndoor Positioning Systemindoor ranging algorithminfinite memory structureintegrity monitoringinternet of thingsK-MeansKalman filterlaser range finderlocalizationlocation fingerprintingLOSmachine learningmarkersmobile devicesmobile fingerprintingmobile robotmobile robotsmodel based techniquesmodified probabilistic data association (MPDA)multi-label convolutional support vector machine (M-CSVM)multi-path detectionmultilayer perceptronnavigational systemNLOSNLOS and MP discriminationNLOS identificationoptimization methodsparticle filterpath planningPDRpedestrian dead reckoningpedestrian dead reckoning (PDR)photodiode arrayposition estimationpositioning applications.proximity sensorsquality controlrandom forestreceived signal strength (RSS)received signal strength indication (RSSI)received signal strength indicatorreflection noisereliabilityremote sensing technologiesRSS-fingerprintsemisupervised learningsensor fusion frameworkssignal processingsmart buildingssmartphonesmartphone sensorssmootherSVMtarget trackingtime of arrival (TOA)tracking resourcestrajectory learningtransparent obstacle recognitiontrilaterationUWBvisually impairedvisually impaired (VI)VPRWi-Fi fine timing measurementWi-Fi fingerprint positioningWi-Fi indoor positioningWi-Fi received signal strength indicator (RSSI)wireless sensor networkWLANTechnology: general issuesSimon Gyulaedt1322899Sujbert LászlóedtSimon GyulaothSujbert LászlóothBOOK9910557333003321Recent Advances in Indoor Localization Systems and Technologies3035236UNINA