A pedestrian tracking algorithm using grid-based indoor model
Sign Up to like & getrecommendations! Published in 2018 at "Automation in Construction"
DOI: 10.1016/j.autcon.2018.03.031
Abstract: Abstract Pedestrian tracking is widely required by location-based services, e.g. indoor navigation, mobile advertising, and guidance for emergency response, etc. But indoor localization and tracking are still challenging due to the complexity of indoor environments… read more here.
Keywords: tracking algorithm; indoor model; pedestrian tracking; based indoor ... See more keywords
A tracking cooling fan using geofence and camera-based indoor localization
Sign Up to like & getrecommendations! Published in 2017 at "Building and Environment"
DOI: 10.1016/j.buildenv.2016.11.047
Abstract: Compressor-based cooling systems have a large impact on energy consumption in modern buildings, particularly in the tropics. Elevated air movement by electric fans is a cost-effective cooling method for both energy saving and thermal comfort… read more here.
Keywords: based indoor; camera based; tracking cooling; fan ... See more keywords
A Geologically Based Indoor‐Radon Potential Map of Kentucky
Sign Up to like & getrecommendations! Published in 2020 at "GeoHealth"
DOI: 10.1029/2020gh000263
Abstract: We combined 71,930 short‐term (median duration 4 days) home radon test results with 1:24,000‐scale bedrock geologic map coverage of Kentucky to produce a statewide geologically based indoor‐radon potential map. The test results were positively skewed… read more here.
Keywords: geologically based; potential map; based indoor; radon potential ... See more keywords
Smartphone based indoor localization using permanent magnets and artificial intelligence for pattern recognition
Sign Up to like & getrecommendations! Published in 2021 at "AIP Advances"
DOI: 10.1063/9.0000076
Abstract: Smartphone-based indoor localization methods are frequently employed for position estimation of users inside enclosures like malls, conferences, and crowded venues. Existing solutions extensively use wireless technologies, like Wi-Fi, RFID, and magnetic sensing. However, these approaches… read more here.
Keywords: indoor localization; based indoor; smartphone based; permanent magnets ... See more keywords
Joint Time-Frequency RSSI Features for Convolutional Neural Network-Based Indoor Fingerprinting Localization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2932469
Abstract: The performance of localization methods based on the receiver signal strength (RSS) is significantly affected by the signal strength indicator’s (RSSI) instability. To date, there is no adequate approach which significantly reduces the impact of… read more here.
Keywords: neural network; based indoor; rssi; convolutional neural ... See more keywords
MINLOC:Magnetic Field Patterns-Based Indoor Localization Using Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2985384
Abstract: Conventional geomagnetic field-based indoor positioning and localization techniques determine the user’s position by comparing the database with the geomagnetic field strength collected by the user. However, the magnetic field strength collected from various devices varies… read more here.
Keywords: field; indoor localization; based indoor; geomagnetic field ... See more keywords
Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169267
Abstract: Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology… read more here.
Keywords: technology; smart logistics; ultra wideband; based indoor ... See more keywords
DNN-Based Indoor Localization Under Limited Dataset Using GANs and Semi-Supervised Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3187837
Abstract: Indoor localization techniques based on supervised learning deliver great performance accuracy while maintaining low online complexity. However, such systems require massive amounts of data for offline training, which necessitates costly measurements. The essence of this… read more here.
Keywords: localization; semi supervised; accuracy; based indoor ... See more keywords
TILoc: Improving the Robustness and Accuracy for Fingerprint-Based Indoor Localization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.2964875
Abstract: In WLAN fingerprint-based indoor localization, signal noise in the measurement of received signal strength indicator (RSSI) often results in matching a set of disperse reference points (RPs), leading to unsatisfactory estimation and weak robustness. To… read more here.
Keywords: fingerprint based; indoor localization; based indoor; robustness accuracy ... See more keywords
A High-Precision and Low-Cost IMU-Based Indoor Pedestrian Positioning Technique
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2020.2976102
Abstract: Indoor pedestrian positioning has been widely used in applications such as fire rescue and indoor navigation. Compared with other indoor positioning technologies such as Wi-Fi and UWB, inertial measurement unit (IMU) based indoor positioning does… read more here.
Keywords: based indoor; pedestrian positioning; indoor pedestrian; imu based ... See more keywords
Multiple Binocular Cameras-Based Indoor Localization Technique Using Deep Learning and Multimodal Fusion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2021.3133488
Abstract: In this paper, an image based indoor localization technique using multiple binocular cameras is proposed by the deep learning and multimodal fusion. First, by taking advantage of the cross-model correlations between various multimodal images for… read more here.
Keywords: indoor localization; fusion; image; localization technique ... See more keywords