Two-Dimensional Code-Based Indoor Positioning System With Feature Graphics

Autor: Huichao Lv, Lihui Feng, Aiying Yang, Bo Lin, Heqing Huang, Shufen Chen
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: IEEE Photonics Journal, Vol 11, Iss 1, Pp 1-15 (2019)
Druh dokumentu: article
ISSN: 1943-0655
DOI: 10.1109/JPHOT.2018.2885985
Popis: Owing to different positioning methods in indoor locations that require base stations, the positioning accuracy cannot be guaranteed, and the cost of reconstructing the base station becomes high. In this paper, a positioning method based on a two-dimensional code with feature graphs using the advantage of scale-invariant feature transform (SIFT) is proposed, where the reconstruction cost of the scene is minimized, and the SIFT matching accuracy is improved with iteration of the transformation matrix. The experimental results demonstrated the positioning error is within 1.2 cm for a room with the dimension of 7 m × 6 m × 2.8 m. Compared with the previously published results under the similar conditions, our proposed scheme has the advantage of low-cost and high-precision system.
Databáze: Directory of Open Access Journals