Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/70555
Título: | FastGraph Enhanced: high accuracy automatic indoor navigation and mapping |
Autor(es): | Pendão, Cristiano Gonçalves Moreira, Adriano |
Palavras-chave: | High accuracy positioning Positioning in large spaces Vehicle positioning Indoor navigation RSS-based positioning Wi-Fi-based Graph-based Automatic radio mapping Wireless fidelity Fingerprint recognition Mobile computing Mathematical model Radio navigation Calibration Radio propagation |
Data: | 1-Mar-2021 |
Editora: | IEEE |
Revista: | IEEE Transactions on Mobile Computing (TMC) |
Citação: | C. Pendão and A. Moreira, "FastGraph Enhanced: High Accuracy Automatic Indoor Navigation and Mapping," in IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1027-1045, 1 March 2021, doi: 10.1109/TMC.2019.2955653. |
Resumo(s): | FastGraph is a novel positioning approach recently proposed to address the challenges of positioning in large spaces. Wi-Fi-based indoor positioning solutions often require complex and time-consuming deployments. Fingerprinting, as one of most used approaches, relies on a radio map, usually created by manual site survey, a process unpractical even for small spaces. Moreover, the site survey has to be repeated frequently due to the changes in the radio environment. Wi-Fi-based solutions are also frequently discarded for applications such as indoor vehicle navigation due to limited accuracy. This article introduces FastGraph Enhanced, a new version of FastGraph, able to provide high accuracy positioning, opening new fields of application, such as navigation for autonomous vehicles. In FastGraph Enhanced, the 3D Force-Directed Graph-Based method, used to model the radio environment, is extended with new algorithms, allowing to improve, among other aspects, the positioning performance. The core advantages of FastGraph are maintained, not requiring previous calibration or knowledge about the space. The proposed solution was evaluated in real world, with very significative improvements in positioning accuracy when compared with the basic version of FastGraph (from around 5m to 0.5m), and with state-of-the-art solutions. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/70555 |
DOI: | 10.1109/TMC.2019.2955653 |
ISSN: | 1536-1233 |
e-ISSN: | 1558-0660 |
Versão da editora: | https://ieeexplore.ieee.org/abstract/document/8911263 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2021_08911263.pdf Acesso restrito! | Texto integral | 3,28 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons