DocumentCode
150049
Title
Design and analysis of a novel sonar-based obstacle-avoidance system for the visually impaired and unmanned systems
Author
Raghuvanshi, Digvija S. ; Dutta, I. ; Vaidya, R.J.
Author_Institution
Dept. of Mech. Eng., Bharati Vidyapeeth Univ., Pune, India
fYear
2014
fDate
3-5 July 2014
Firstpage
238
Lastpage
243
Abstract
Electronic Travel Aids have evolved over the years through multi-disciplinary research fundamentally using ultrasonic, infrared, imaging, GPS etc., but such technology outreach in India has been almost absent. This paper, based on an extensive research and literature survey carried out by the authors during the development of an obstacle avoiding ultrasonic belt, focuses on using the sonar technique through an innovative design to efficiently detect an immediate environment ahead. Attempts to understand the design and orientation of components have been made to convey the novelty of device. A deep scientific clarity is drawn on the basic theory of obstacle-detection and communication using the components incorporated in the authors´ prototype. The drawbacks of the system and the scope of future development have also been discussed. The system promises to compliment the GPS, Blind Canes and Blind Dogs as well as unmanned navigation systems.
Keywords
collision avoidance; handicapped aids; navigation; sonar; ultrasonic devices; Electronic Travel Aids; GPS; India; blind canes; blind dogs; obstacle avoiding ultrasonic belt; obstacle-detection; sonar technique; sonar-based obstacle-avoidance system; unmanned navigation systems; visually impaired; Acoustics; Belts; DC motors; Microcontrollers; Pulse width modulation; Sensors; Vibrations; Blind navigation; blind device; obstacle avoidance system; sonar-based belt; ultrasonic navigation; ultrasonic obstacle detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Embedded Systems (ICES), 2014 International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-5025-6
Type
conf
DOI
10.1109/EmbeddedSys.2014.6953165
Filename
6953165
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