A low cost outdoor assistive navigation system for blind people

Author(s):  
Jizhong Xiao ◽  
Kevin Ramdath ◽  
Manor Iosilevish ◽  
Dharmdeo Sigh ◽  
Anastasis Tsakas
2013 ◽  
Vol 61 (3) ◽  
pp. 633-637 ◽  
Author(s):  
W. Gelmuda ◽  
A. Kos

Abstract The purpose of this paper is to present a multichannel ultrasonic range finder which was designed for the navigation system for blind people. A substantial number of consultations with blind people in the Blind People Centre in Krakow have shown that the navigation and obstacle detection with a help of a white stick only, is not sufficient enough to assure a high safety level. Electronic aids which are being designed for blind people should be mobile, comfortable and low-powered. That is why the MOBIAN© (a mobile safety system for the blind) project is being carried out by the authors to create a highly reliable safety navigation system for blind people. It could not only improve blind people quality of life but also their safety, especially when they are walking in unknown areas. As a part of this project, the multichannel ultrasonic range finder was designed, produced and tested. The tests have proven the device is capable of detecting objects from different directions in a range over 4 m. The device interface is easy to manage and can be controlled by almost any microcontroller or FPGA chip. The designed range finder is to be implemented in the electronic assistant project for blind people. Other systems, including the industrial ones, for instance, mobile robots or gates that count people entries, could benefit from this multichannel range finder. Usually, some low-cost ultrasonic range finders use two transducers for each channel (a transmitter and a receiver). The designed device employs only one transducer per channel which minimizes the end-device size and cost and at the same time provides with the main functionality. Novelty of this device is its multichannel design and the emplacement of the ultrasonic transducers, which can be used due to the application of the multichannel analog multiplexer. Thus, it is possible to detect obstacles, even the inclined ones, with higher reliability and increase the safety of blind people while walking. Also, this design and the transducers’ placement allow to detect obstacles much quicker, when the blind user suddenly turns.


Author(s):  
Giuseppe Spampinato ◽  
Arcangelo Bruna ◽  
Davide Giacalone ◽  
Giuseppe Messina

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Huisheng Liu ◽  
Zengcai Wang ◽  
Susu Fang ◽  
Chao Li

A constrained low-cost SINS/OD filter aided with magnetometer is proposed in this paper. The filter is designed to provide a land vehicle navigation solution by fusing the measurements of the microelectromechanical systems based inertial measurement unit (MEMS IMU), the magnetometer (MAG), and the velocity measurement from odometer (OD). First, accelerometer and magnetometer integrated algorithm is studied to stabilize the attitude angle. Next, a SINS/OD/MAG integrated navigation system is designed and simulated, using an adaptive Kalman filter (AKF). It is shown that the accuracy of the integrated navigation system will be implemented to some extent. The field-test shows that the azimuth misalignment angle will diminish to less than 1°. Finally, an outliers detection algorithm is studied to estimate the velocity measurement bias of the odometer. The experimental results show the enhancement in restraining observation outliers that improves the precision of the integrated navigation system.


2021 ◽  
pp. 1-9
Author(s):  
Shinichi Kimura ◽  
Eijiro Atarashi ◽  
Taro Kashiwayanagi ◽  
Kohei Fujimoto ◽  
Ryan Proffitt

Author(s):  
Lucian T. Grigorie ◽  
Ruxandra M. Botez

In this paper, an algorithm for the inertial sensors errors reduction in a strap-down inertial navigation system, using several miniaturized inertial sensors for each axis of the vehicle frame, is conceived. The algorithm is based on the idea of the maximum ratio-combined telecommunications method. We consider that it would be much more advantageous to set a high number of miniaturized sensors on each input axis of the strap-down inertial system instead of a single one, more accurate but expensive and with larger dimensions. Moreover, a redundant system, which would isolate any of the sensors in case of its malfunctioning, is obtained. In order to test the algorithm, Simulink code is used for algorithm and for the acceleration inertial sensors modeling. The Simulink resulted sensors models include their real errors, based on the data sheets parameters, and were conceived based on the IEEE analytical standardized accelerometers model. An integration algorithm is obtained, in which the signal noise power delivered to the navigation processor, is reduced, proportionally with the number of the integrated sensors. At the same time, the bias of the resulted signal is reduced, and provides a high redundancy degree for the strap-down inertial navigation system at a lower cost than at the cost of more accurate and expensive sensors.


GPS Solutions ◽  
2005 ◽  
Vol 9 (4) ◽  
pp. 294-311 ◽  
Author(s):  
Dong-Hwan Hwang ◽  
Sang Heon Oh ◽  
Sang Jeong Lee ◽  
Chansik Park ◽  
Chris Rizos

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