DeepNav: A scalable and plug-and-play indoor navigation system based on visual CNN

Author(s):  
Jian Gong ◽  
Ju Ren ◽  
Yaoxue Zhang
2020 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Shaaban Ali Salman ◽  
Qais A. Khasawneh ◽  
Mohammad A. Jaradat ◽  
Mansour Y. Alramlawi

2020 ◽  
Vol 49 (5) ◽  
pp. 49-57
Author(s):  
A. V. Ksendzuk ◽  
E. A. Surmin ◽  
V. V. Kachesov ◽  
S. O. Zhdanov ◽  
K. S. Shakhalov

Results of an experimental study of a local navigation system based on the processing signals from broadcast sources presented. The results of the development of processing algorithms for point-to-point coordinates estimation of the object are presented. The results of the development of algorithms for trajectories estimation are presented. In performed simulation the possibility of obtaining submeter position estimation accuracy in the proposed system is shown. Development results of the navigation module demonstrator are presented. The results of experimental work in difficult navigation conditions, in the presence of shading, reflections and other factors, are presented. It is shown that the developed navigation module allows in the open space near buildings which partially obscuring the satellite systems signals to obtain accuracy higher than the GNSS navigation equipment. In indoor environment in the absence of satellite navigation signals, the developed module shows positioning accuracy not worse than 1.5 meters and provides a measurement rate 1 Hz and better.


Author(s):  
Abdel Ghani Karkar ◽  
Somaya Al-Maadeed ◽  
Jayakanth Kunhoth ◽  
Ahmed Bouridane

2021 ◽  
Vol 1782 (1) ◽  
pp. 012035
Author(s):  
M Styła ◽  
P Adamkiewicz ◽  
K Niderla ◽  
T Rymarczyk

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