The Practice of Cloud-based Navigation System for Indoor Robot

The indoor positioning system has seen an explosion of advances in recent years, particularly in demands for location-based services. One such important location-based service is indoor navigation for robots based on an indoor positioning system, which is used to guide blind people and locate patients in a hospital. However, most indoor navigation systems are based on location information depended on respect signal from at least three reference access points. In this paper, we design a cloud-based navigation system for indoor robot through a Wi-Fi located at the one-hop wireless network. We compare our proposal and baseline techniques in the real-world indoor environment. The practical results show that the robot using the fixed edge cloud can move in accuracy achieved position and efficiently reach to the given destination position. Moreover, an indoor robot using a single access point and cloud service is more suitable and straightforward than using existing models.

[1]  Ruiliang. Guo.  Wi-Fi positioning system. , 2011 .

[2]  Nirwan Ansari,et al.  Accurate WiFi Localization by Fusing a Group of Fingerprints via a Global Fusion Profile , 2018, IEEE Transactions on Vehicular Technology.

[3]  Federico Thomas,et al.  Revisiting trilateration for robot localization , 2005, IEEE Transactions on Robotics.

[4]  Jorn Thielecke,et al.  A path loss and fading model for RSSI-based localization in forested areas , 2016, 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).

[5]  B Hu.  Wi-Fi based indoor positioning system using smartphone , 2013 .

[6]  François Marx,et al.  Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning , 2006, EURASIP J. Adv. Signal Process..

[7]  Naser El-Sheimy,et al.  Tightly-Coupled Integration of WiFi and MEMS Sensors on Handheld Devices for Indoor Pedestrian Navigation , 2016, IEEE Sensors Journal.

[8]  Jaegeol Yim,et al.  Introducing a decision tree-based indoor positioning technique , 2008, Expert Syst. Appl..

[9]  Hao Guo,et al.  Real-Time Estimation of Sensor Node's Position Using Particle Swarm Optimization With Log-Barrier Constraint , 2011, IEEE Transactions on Instrumentation and Measurement.

[10]  Faisal Jamil,et al.  Improving Accuracy of the Alpha–Beta Filter Algorithm Using an ANN-Based Learning Mechanism in Indoor Navigation System , 2019, Sensors.

[11]  Christopher Zimmer,et al.  Improving the precision of RSSI-based low-energy localization using path loss exponent estimation , 2014, 2014 11th Workshop on Positioning, Navigation and Communication (WPNC).

[12]  Dongkai Yang,et al.  A Novel Method for Constructing a WIFI Positioning System with Efficient Manpower , 2015, Sensors.

[13]  Pratik Palaskar,et al.  Wi-Fi Indoor Positioning System Based on RSSI Measurements from Wi-Fi Access Points -A Tri-lateration Approach , 2014 .

[14]  Yu Pang,et al.  Indoor Positioning Algorithm Based on the Improved RSSI Distance Model , 2018, Sensors.

[15]  Petros Spachos,et al.  RSSI-Based Indoor Localization With the Internet of Things , 2018, IEEE Access.

[16]  Moe Z. Win,et al.  A smartphone localization algorithm using RSSI and inertial sensor measurement fusion , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[17]  Wei Ni,et al.  Integrated Wi-Fi fingerprinting and inertial sensing for indoor positioning , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

[18]  Tsvi Kuflik,et al.  Indoor positioning: challenges and solutions for indoor cultural heritage sites , 2011, IUI '11.

[19]  B. Hu.  Wi-Fi Based Indoor Positioning System Using Smartphones , 2014 .

[20]  K. A. Rahim.  Heading drift mitigation for low-cost inertial pedestrian navigation , 2012 .

[21]  Gints Jekabsons,et al.  An Analysis of Wi-Fi Based Indoor Positioning Accuracy , 2011, Sci. J. Riga Tech. Univ. Ser. Comput. Sci..