scholarly journals Performance Analysis of Indoor Localization Algorithm Using Virtual Access Points in Wi-Fi Environment

2017 ◽  
Vol 6 (3) ◽  
pp. 113-120 ◽  
Author(s):  
Boney Labinghisa ◽  
Dong Myung Lee
Keyword(s):  
Performance Analysis ◽  
Indoor Localization ◽  
Localization Algorithm ◽  
Access Points

scholarly journals Vision-based Indoor Localization Algorithm using Improved ResNet

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Zeyad Farisi ◽  
Tian Lianfang ◽  
Li Xiangyang ◽  
Zhu Bin
Keyword(s):  
Indoor Localization ◽  
Localization Algorithm

MAPS: Indoor Localization Algorithm Based on Multiple AP Selection

2020 ◽  
Author(s):  
Pengyu Huang ◽  
Haojie Zhao ◽  
Wei Liu ◽  
Dingde Jiang
Keyword(s):  
Indoor Localization ◽  
Localization Algorithm

scholarly journals Indoor Localization Based on VIO System and Three-Dimensional Map Matching

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2790 ◽  
Author(s):  
Jitong Zhang ◽  
Mingrong Ren ◽  
Pu Wang ◽  
Juan Meng ◽  
Yuman Mu
Keyword(s):  
Random Field ◽  
Indoor Localization ◽  
Conditional Random Field ◽  
A Priori ◽  
Three Dimensional ◽  
Map Matching ◽  
Localization Algorithm ◽  
Position Information ◽  
Feedback Information ◽  
Poor Lighting

High-precision indoor localization plays a vital role in various places. In recent years, visual inertial odometry (VIO) system has achieved outstanding progress in the field of indoor localization. However, it is easily affected by poor lighting and featureless environments. For this problem, we propose an indoor localization algorithm based on VIO system and three-dimensional (3D) map matching. The 3D map matching is to add height matching on the basis of previous two-dimensional (2D) matching so that the algorithm has more universal applicability. Firstly, the conditional random field model is established. Secondly, an indoor three-dimensional digital map is used as a priori information. Thirdly, the pose and position information output by the VIO system are used as the observation information of the conditional random field (CRF). Finally, the optimal states sequence is obtained and employed as the feedback information to correct the trajectory of VIO system. Experimental results show that our algorithm can effectively improve the positioning accuracy of VIO system in the indoor area of poor lighting and featureless.

scholarly journals Performance Analysis of Indoor mmWave Networks with Ceiling-Mounted Access Points

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Fadhil Firyaguna ◽  
Jacek Kibilda ◽  
Carlo Galiotto ◽  
Nicola Marchetti
Keyword(s):  
Performance Analysis ◽  
Access Points
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