Indoor Navigation for Blind People using Raspberry Pi
Abstract & Details
Research Area
Computer Engineering
Keywords
Indoor navigation
Way-finding
Visually impaired navigation
Sensor fusion
Image Processing
Wearable Device
Abstract
Indoor navigation systems must deal with the absence of GPS signals since they are only available in outdoor environments. Therefore, indoor systems have to rely upon other techniques for positioning users. Recently various indoor navigation systems have been designed and developed to help blind people. In this paper, an overview of some existing indoor navigation systems for blind people is presented and they are compared from different perspectives. The evaluated techniques are ultrasonic systems, RGB-D camera-based solutions, computer vision aided navigation systems, and smartphone-based applications. This paper reviews various types of navigation systems developed for vision-less people for indoor navigation
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Nilesh Raut | JSPM Jaywantrao Sawant College of Engineering, Pune |
| 2 | Piyush Ukarande | JSPM Jaywantrao Sawant College of Engineering, Pune |
| 3 | Labham Palve | JSPM Jaywantrao Sawant College of Engineering, Pune |
| 4 | Shubham Jangam | JSPM Jaywantrao Sawant College of Engineering, Pune |
| 5 | Prof. Veena Pawar | JSPM Jaywantrao Sawant College of Engineering, Pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Raut, Nilesh, Ukarande, Piyush, Palve, Labham, Jangam, Shubham, & Pawar, Prof. Veena (2020). Indoor Navigation for Blind People using Raspberry Pi. International Journal of Advance Research and Innovative Ideas In Education, 6(5), 738-743.
MLA Style
Raut, Nilesh, et al. "Indoor Navigation for Blind People using Raspberry Pi." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, 2020, pp. 738-743.
IEEE Style
Nilesh Raut, Piyush Ukarande, Labham Palve, Shubham Jangam, and Prof. Veena Pawar, "Indoor Navigation for Blind People using Raspberry Pi," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 5, pp. 738-743, 2020.
Vancouver Style
Raut Nilesh, Ukarande Piyush, Palve Labham, Jangam Shubham, Pawar Prof. Veena. Indoor Navigation for Blind People using Raspberry Pi. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(5):738-743.
Harvard Style
Raut, Nilesh, Ukarande, Piyush, Palve, Labham, Jangam, Shubham, & Pawar, Prof. Veena (2020) 'Indoor Navigation for Blind People using Raspberry Pi', International Journal of Advance Research and Innovative Ideas In Education, 6(5), pp. 738-743.
Chicago Style
Raut, Nilesh, et al. "Indoor Navigation for Blind People using Raspberry Pi." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 738-743.
Turabian Style
Raut, Nilesh, et al. "Indoor Navigation for Blind People using Raspberry Pi." International Journal of Advance Research and Innovative Ideas In Education 6, no. 5 (2020): 738-743.
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