التفاصيل البيبلوغرافية
| العنوان: |
Floor plan-free particle filter for indoor positioning of industrial vehicles |
| المؤلفون: |
Silva, Ivo Miguel Menezes, Moreira, Adriano, Nicolau, Maria João, Pendão, Cristiano Gonçalves |
| المساهمون: |
Universidade do Minho |
| بيانات النشر: |
CEUR-Ws, 2020. |
| سنة النشر: |
2020 |
| مصطلحات موضوعية: |
Indoor positioning, Particle filter, Wi-Fi fingerprinting, Sensor fusion, Industrial vehicles, Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| الوصف: |
Industry 4.0 is triggering the rapid development of solutions for indoor localization of industrial ve- hicles in the factories of the future. Either to support indoor navigation or to improve the operations of the factory, the localization of industrial vehicles imposes demanding requirements such as high accuracy, coverage of the entire operating area, low convergence time and high reliability. Industrial vehicles can be located using Wi-Fi fingerprinting, although with large positioning errors. In addition, these vehicles may be tracked with motion sensors, however an initial position is necessary and these sensors often suffer from cumulative errors (e.g. drift in the heading). To overcome these problems, we propose an indoor positioning system (IPS) based on a particle filter that combines Wi-Fi fingerprinting with data from motion sensors (displacement and heading). Wi-Fi position estimates are obtained using a novel approach, which explores signal strength measurements from multiple Wi-Fi interfaces. This IPS is capable of locating a vehicle prototype without prior knowledge of the starting position and heading, without depending on the building’s floor plan. An average positioning error of 0.74 m was achieved in performed tests in a factory-like building. |
| الوصف (مترجم): |
FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020, the PhD fellowship PD/BD/137401/2018 and the Technological Development in the scope of the projects in co-promotion no 002814/2015 (iFACTORY 2015-2018) |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| العلاقة: |
Ivo Silva, Adriano Moreira, Maria João Nicolau, Cristiano Pendão, “Floor Plan-free Particle Filter for Indoor Positioning of Industrial Vehicles”, in proceedings of the International Conference on Localization and GNSS, ICL-GNSS 2020, 2-4 June, Tampere, Finland (online), 2020, Volume 2626, ISSN: 1613-0073; 1613-0073; http://ceur-ws.org/Vol-2626/paper2.pdfTest |
| الإتاحة: |
http://hdl.handle.net/1822/70557Test |
| حقوق: |
open access |
| رقم الانضمام: |
rcaap.com.repositorium.repositorium.sdum.uminho.pt.1822.70557 |
| قاعدة البيانات: |
RCAAP |
