LEADER 05893nam 2201465z- 450 001 9910557743603321 005 20231214133233.0 035 $a(CKB)5400000000045906 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76846 035 $a(EXLCZ)995400000000045906 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIndoor Positioning and Navigation 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (350 p.) 311 $a3-0365-1913-0 311 $a3-0365-1912-2 330 $aIn recent years, rapid development in robotics, mobile, and communication technologies has encouraged many studies in the field of localization and navigation in indoor environments. An accurate localization system that can operate in an indoor environment has considerable practical value, because it can be built into autonomous mobile systems or a personal navigation system on a smartphone for guiding people through airports, shopping malls, museums and other public institutions, etc. Such a system would be particularly useful for blind people. Modern smartphones are equipped with numerous sensors (such as inertial sensors, cameras, and barometers) and communication modules (such as WiFi, Bluetooth, NFC, LTE/5G, and UWB capabilities), which enable the implementation of various localization algorithms, namely, visual localization, inertial navigation system, and radio localization. For the mapping of indoor environments and localization of autonomous mobile sysems, LIDAR sensors are also frequently used in addition to smartphone sensors. Visual localization and inertial navigation systems are sensitive to external disturbances; therefore, sensor fusion approaches can be used for the implementation of robust localization algorithms. These have to be optimized in order to be computationally efficient, which is essential for real-time processing and low energy consumption on a smartphone or robot. 606 $aTechnology: general issues$2bicssc 606 $aEnergy industries & utilities$2bicssc 610 $adynamic objects identification and localization 610 $alaser cluster 610 $aradial velocity similarity 610 $aPearson correlation coefficient 610 $aparticle filter 610 $atrilateral indoor positioning 610 $aRSSI filter 610 $aRSSI classification 610 $astability 610 $aaccuracy 610 $ainertial navigation system 610 $aartificial neural network 610 $amotion tracking 610 $asensor fusion 610 $aindoor navigation system 610 $aindoor positioning 610 $aindoor navigation 610 $aradiating cable 610 $aleaky feeder 610 $aaugmented reality 610 $aBluetooth 610 $aindoor positioning system 610 $asmart hospital 610 $aindoor 610 $apositioning 610 $avisually impaired 610 $adeep learning 610 $amulti-layered perceptron 610 $ainertial sensor 610 $asmartphone 610 $amulti-variational message passing (M-VMP) 610 $afactor graph (FG) 610 $asecond-order Taylor expansion 610 $acooperative localization 610 $ajoint estimation of position and clock 610 $aRTLS 610 $aindoor positioning system (IPS) 610 $aposition data 610 $aindustry 4.0 610 $atraceability 610 $aproduct tracking 610 $afingerprinting localization 610 $aBluetooth low energy 610 $aWi-Fi 610 $aperformance metrics 610 $apositioning algorithms 610 $alocation source optimization 610 $afuzzy comprehensive evaluation 610 $aDCPCRLB 610 $aUAV 610 $aunmanned aerial vehicles 610 $aNWPS 610 $aindoor positioning systems 610 $aGPS denied 610 $aGNSS denied 610 $aautonomous vehicles 610 $avisible light positioning 610 $amobile robot 610 $acalibration 610 $aappearance-based localization 610 $acomputer vision 610 $aGaussian processes 610 $amanifold learning 610 $arobot vision systems 610 $aimage manifold 610 $adescriptor manifold 610 $aindoor fingerprinting localization 610 $aGaussian filter 610 $aKalman filter 610 $areceived signal strength indicator 610 $achannel state information 610 $aindoor localization 610 $avisual-inertial SLAM 610 $aconstrained optimization 610 $apath loss model 610 $aparticle swarm optimization 610 $abeacon 610 $aabsolute position system 610 $acooperative algorithm 610 $aintercepting vehicles 610 $arobot framework 610 $aUWB sensors 610 $aInternet of Things (IoT) 610 $awireless sensor network (WSN) 610 $aswitched-beam antenna 610 $aelectronically steerable parasitic array radiator (ESPAR) antenna 610 $areceived signal strength (RSS) 610 $afingerprinting 610 $adown-conversion 610 $aGPS 610 $anavigation 610 $aRF repeaters 610 $aup-conversion 615 7$aTechnology: general issues 615 7$aEnergy industries & utilities 700 $aTomaz?ic?$b Simon$4edt$01329483 702 $aTomaz?ic?$b Simon$4oth 906 $aBOOK 912 $a9910557743603321 996 $aIndoor Positioning and Navigation$93039500 997 $aUNINA