An Indoor Wireless Positioning System Based on Ibeacon

Author(s):  
Haitao Zhang ◽  
Mengmeng Zhang ◽  
Guifang Wu
2012 ◽  
Vol 482-484 ◽  
pp. 126-135
Author(s):  
Jia Shing Sheu ◽  
Yi Shiang Wang ◽  
Tsong Liang Huang

The aims of this paper realize an indoor location system on the navigation of the self-made omni-wheel robot, and use gyroscope to overcome the path deviation problem of travelling omni-wheel robot to make the moving path more accurate. This system includes two parts, the indoor location system algorithm and the control of omni-wheel robot. The gyroscope is adapted to detect the angular speed of vehicle in moving which causes by the external influence factor, using it to control the Omni-wheel robot moving in real time. At the same time, angular velocity integral is the offset from the direction and angle of deflection to control the robot. The result of the experiment using the embedded system-ARM7 is verified. The moving behavior of Omni-wheel robot can be corrected by the gyroscope that occur when vehicles go head deflection problem. The high accuracy positioning information is provided by the indoor wireless positioning system. It also reaches a large flexibility in the space in which automatic guidance within an acceptable range and the required accuracy of losing the position. In this research, one kind of efficient location system by using gyroscope to help the navigation of Omni-wheel robot is realized. And, this structure can make the moving path of Omni-wheel robot to achieve more accurately.


Author(s):  
A H Ismail ◽  
J S Ngo ◽  
M I Taib ◽  
M S M Hashim ◽  
M S M Azmi ◽  
...  

2012 ◽  
Vol 6 (3) ◽  
pp. 444-454 ◽  
Author(s):  
Guannan Zhao ◽  
Donglin Wang ◽  
M. Fattouche ◽  
Minglu Jin

Sensors ◽  
2012 ◽  
Vol 12 (5) ◽  
pp. 6155-6175 ◽  
Author(s):  
Ling Pei ◽  
Jingbin Liu ◽  
Robert Guinness ◽  
Yuwei Chen ◽  
Heidi Kuusniemi ◽  
...  

2013 ◽  
Vol 437 ◽  
pp. 870-875 ◽  
Author(s):  
Zhong Liang Deng ◽  
Fei Peng Xie ◽  
Yan Pei Yu ◽  
Xiao Hong Zhao ◽  
Zhuang Yuan

In order to solve the discontinuity of navigation and positioning in indoor signal coverage blind areas, and false region judgment caused by positioning error, an integrated method combining Wireless Positioning System (WPS), Pedestrian Dead Reckoning (PDR) and Map Matching (MM) is presented in this paper. By using the combination of Kalman filtered WPS and PDR information, inertial information and geographic information, pedestrian position could be evaluated. Through experiment, this method effectively increased positioning accuracy of the system as well as greatly improved the user experience.


2014 ◽  
Vol 12 (11) ◽  
pp. 273-279
Author(s):  
Byeong-Gwon Kang ◽  
Sung-Ja Choi ◽  
Gui-Jung Kim ◽  
Yong-Seo Park

Sign in / Sign up

Export Citation Format

Share Document