- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Dependable Visual Light-Based Indoor Localization with Automatic Anomaly Detection for Location-Based Service of Mobile Cyber-Physical Systems
摘要： Indoor localization has become popular in recent years due to the increasing need of location-based services in mobile cyber-physical systems (CPS). The massive deployment of light emitting diodes (LEDs) further promotes the indoor localization using visual light. As a key enabling technique for mobile CPS, accurate indoor localization based on visual light communication remains nontrivial due to various non-idealities such as attenuation induced by unexpected obstacles. The anomalies of localization can potentially reduce the dependability of location-based services. In this article, we develop a novel indoor localization framework based on relative received signal strength. Most importantly, an efficient method is derived from the triangle inequality to automatically detect the abnormal LED lamps that are blocked by obstacles. These LED lamps are then ignored by our localization algorithm so that they do not bias the localization results, which improves the dependability of our localization framework. As demonstrated by the simulation results, the proposed techniques can achieve superior accuracy over the conventional approaches, especially when there exist abnormal LED lamps.
关键词： relative received signal strength,dependability,Visual light based indoor localization,mobile cyber-physical systems,triangle inequality
更新于2025-09-10 09:29:36
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[IEEE 2018 IEEE International Conference on RFID Technology & Application (RFID-TA) - Macau, Macao (2018.9.26-2018.9.28)] 2018 IEEE International Conference on RFID Technology & Application (RFID-TA) - New Empirical Indoor Path Loss Model using Active UHF-RFID Tags for Localization Purposes
摘要： Indoor is one of the most complicated propagation environments depending on the specific type of buildings structure. In this paper, we present a combination of 2 models using active UHF-RFID tags at 433 MHz: The Dual One Slope Model (DOSM) and the Dual One Slope with Second Order Polynomial Model (DOSSOM). Further, a comparison with different propagation models have been proposed. Our work aims to study, analyze and improve the accuracy of the two new path loss models. Distance errors are determined based on all different propagation models. According to experimental validations, the mean distance error had a value 56 cm using the DOSM, whereas, it had a value of 51 cm using the DOSSOM. In short, distance errors derived from the two new empirical path loss models (DOSM and DOSSOM) closely match real measurements. Thus, referring to the mean distance errors already reached, the stability of our new indoor propagation models will be affirmed.
关键词： Distance estimation,UHF-RFID,Second Order Polynomial Model (SOPM),One Slope Model (OSM),Indoor Localization,Received Signal Strength Indicator (RSSI)
更新于2025-09-09 09:28:46
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Augmented reality system for facility management using image-based indoor localization
摘要： Image-based localization has provided opportunities for efficient facility management. Combined with augmented reality (AR), automated localization can offer visually assistive information in facility management. However, implementing an AR-based facility management system with image-based localization is difficult. Device-intensive methods or markers were prerequisites for facility information display. Localization accuracy and information readability and accessibility were some of the issues to be resolved for a successful representation of facility information. This paper presents an AR system for facility management using an image-based indoor localization method that estimates the user's indoor position and orientation by comparing the user's perspective to building information modeling (BIM) based on a deep learning computation. A graphics processing unit (GPU)-enabled server is used for the deep learning computation, and the resultant information is wirelessly transferred to the mobile AR device through transmission control protocol/Internet protocol (TCP/IP). Thereafter, spatial mapping visually fits the object of interest (e.g. pipes) onto the AR image using three-dimensional (3D) sensing capability of AR device. Experts evaluated that the proposed system has potential for improved facility management and identified future research direction, such as integrated information presentation and effective reflection of rehabilitation efforts on the drawings.
关键词： Facility management,Indoor localization,Image retrieval,Augmented reality
更新于2025-09-04 15:30:14