Optimum Placement of Wireless Access Point for Mobile Robot Positioning in an Indoor Environment

2016 ◽  
Vol 28 (2) ◽  
pp. 162-172 ◽  
Author(s):  
Abdul Halim Ismail ◽  
◽  
Ryosuke Tasaki ◽  
Hideo Kitagawa ◽  
Kazuhiko Terashima ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Access Point ◽  
Signal Propagation ◽  
Propagation Model ◽  
Wireless Access ◽  
Positioning System ◽  
Indoor Environments ◽  
Wireless Nodes ◽  
Robot Positioning ◽  
Wireless Access Point

[abstFig src='/00280002/07.jpg' width=""300"" text='The placement objective so that the particular arrangement could provide enough signal data to the mobile robot' ]The Wireless Positioning System (WPS) has gained increasing attention for mobile robot applications in indoor environments over conventional on-board sensors. This is mainly due to their cost effectiveness as well as adaptability for future use. Many literatures on WPS adapted existing wireless infrastructures such as WiFi for mobile robot usage, resulting in relatively impractical accuracy for mobile robot application. A systematic technique must be sought in order to place the wireless nodes where coverage could be maximized and be suitable for a mobile robot positioning system via fingerprinting technique. We propose an effective and simple means to optimize wireless access point (AP) placement. Simulation results by ITU-R P.1238 MWF signal propagation model with automatic wall crossing computation have ensured the maximum coverage for human users using a minimum number of wireless nodes as possible. The mobile robot positioning error employing the weightedk-nearest neighbor algorithm (WKNN) with the average signal strength as fingerprint database yielded significant results when the proposed placements are used over symmetrical placements.

The Research of Indoor Positioning Based on Double Wireless Access Points

2014 ◽  
Vol 536-537 ◽  
pp. 291-295
Author(s):  
Ke Fei Cheng ◽  
Hong Cai
Keyword(s):  
Access Point ◽  
Signal Propagation ◽  
Indoor Positioning ◽  
Propagation Model ◽  
Wireless Access ◽  
Average Error ◽  
Manifold Regularization ◽  
Access Points ◽  
Signal Propagation Model ◽  
Wireless Access Point

Aiming at the problem of low accuracy of indoor positioning by singular wireless access point, this paper proposes a method which is based on the result of weighted calculation using the positioning of two wireless access points. In the experiment, the method use two wireless access point to acquire the signal samples respectively in an office, using the signal propagation model and manifold regularization model to study the surroundings. At the positioning phase, the final position can be obtained by weighted calculating the results of the two wireless access point and the nature of triangular midline. The experimental results show that using the proposed method, the average error value is 20% lower than the corresponding version, using singular wireless access point.

Stock Counting System Using PDA

2014 ◽  
pp. 2311-2322
Author(s):  
Chantana Chantrapornchai ◽  
W. Chedsiri
Keyword(s):  
Access Point ◽  
Department Store ◽  
Wireless Access ◽  
Design And Development ◽  
Counting System ◽  
Large Size ◽  
Manual Counting ◽  
Wireless Access Point

In this work, a development of stock counting system using PDA is presented. The design and development issues are studied for the case of a superstore in Thailand. The stock counting is a tedious work in a department store. Employees need to physically walk down the shelves and count the amount of items each day. The amount of items is compared to the amount in the system to check for the loss of items every day. For a large-size department store, many employees need to spend lots of time to perform the tasks. Introducing the use of PDA together with the barcodes of the products will help automate the process, save time, and reduce the errors for checking the stock counts. In this paper, the design of system presents in the aspect of 1) the PDA software client and server sides 2) wireless access point installation costs and plans. After the development, the system is employed. Its efficiency is compared to the manual counting and the user satisfactory is evaluated.

Planning Wireless Access Point Deployments

2007 ◽  
pp. 25-53
Author(s):  
Joe Levy ◽  
Khai Tran ◽  
Patrick Lydon ◽  
Jeremy Pollock ◽  
Dave Parry ◽  
...  
Keyword(s):  
Access Point ◽  
Wireless Access ◽  
Wireless Access Point

scholarly journals A robust mobile robot indoor positioning system based on Wi-Fi

2020 ◽  
Vol 17 (1) ◽  
pp. 172988141989666 ◽  
Author(s):  
Wei Cui ◽  
Qingde Liu ◽  
Linhan Zhang ◽  
Haixia Wang ◽  
Xiao Lu ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Principal Component ◽  
Indoor Positioning ◽  
Positioning System ◽  
Infrared Sensors ◽  
Positioning Systems ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Learning Machine ◽  
Noisy Measurements

Recently, most of the existing mobile robot indoor positioning systems (IPSs) use infrared sensors, cameras, and other extra infrastructures. They usually suffer from high cost and special hardware implementation. In order to address the above problems, this article proposes a Wi-Fi-based indoor mobile robot positioning system and designs and develops a robot positioning platform based on the commercial Wi-Fi devices, such as Wi-Fi routers. Furthermore, a robust principal component analysis-based extreme learning machine algorithm is proposed to address the issue of noisy measurements in IPSs. Real-world robot indoor positioning experiments are extensively carried out and the results verify the effectiveness and superiority of the proposed system.

Design and Robust Recognition of Omnidirectional Landmarks for Indoor Mobile Robot Positioning

2013 ◽  
Author(s):  
Hanyu Liu ◽  
Xu Zhong ◽  
Yu Zhou
Keyword(s):  
Mobile Robot ◽  
Recognition Algorithm ◽  
Positioning System ◽  
Contour Analysis ◽  
Landmark Recognition ◽  
Black And White ◽  
Indoor Mobile Robot ◽  
Robot Positioning ◽  
Robust Recognition ◽  
Landmark Model

In this paper, we present an omnidirectional artificial landmark model and a robust artificial landmark recognition algorithm for indoor mobile robot positioning. The landmark model encodes identities with nested circles in black and white, which provides stable edge response and enables strong tolerance to various lighting conditions and perspective distortions. The corresponding positioning system uses a single upward-facing webcam as the vision sensor to capture landmarks. To address the effect of the lighting and sensing noise, the topological contour analysis is applied to detect landmarks, and the dynamic illumination adjustment is used to assist landmark recognition. Based on the landmark recognition, the absolute position of the camera in the environment is estimated using a trilateration algorithm. The landmark model and positioning system are tested with a mobile robot in a real indoor environment. The results show that the purposed technique provides autonomous indoor positioning for mobile robots with high robustness and consistency.

Cost-Effective Localization Using RSS From Single Wireless Access Point

2020 ◽  
Vol 69 (5) ◽  
pp. 1860-1870 ◽  
Author(s):  
You Li ◽  
Kunlun Yan ◽  
Zhe He ◽  
Yuqi Li ◽  
Zhouzheng Gao ◽  
...  
Keyword(s):  
Cost Effective ◽  
Access Point ◽  
Wireless Access ◽  
Wireless Access Point
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