Hardware Implementation of Obstacle Detection for Assisting Visually Impaired People in an Unfamiliar Environment by Using Raspberry Pi-Reference-Cited by-同舟云学术

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Hardware Implementation of Obstacle Detection for Assisting Visually Impaired People in an Unfamiliar Environment by Using Raspberry Pi

Published:2016 Issue: Volume: Page:889-895
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Khade Sanket,Dandawate Yogesh H.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-3433-6_106

Reference13 articles.

1. Wang, S., Pan, H., Zhang, C., Tian, Y.: RGB-D image-based detection of stairs, pedestrian crosswalks and traffic signs. J. Vis. Commun. Image Representation 25(2), 263–272 (2014)

2. Bhambare, R.R., Koul, A., Bilal, S.M.: Smart Vision System for Blind

3. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);A Bhowmick,2014

4. Lee, K., Lee, C., Kim, S.-A., Kim, Y.-H.: Fast object detection based on color histograms and local binary patterns. In: Proceedings of TENCON 2012 - 2012 IEEE Region 10 Conference, 19–22 November 2012, vol. 1, no. 4 (2012)

5. Chen, Q., Song, Z., Feris, R., Datta, A., Cao, L., Huang, Z., Yan, S.: Efficient maximum appearance search for large-scale object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3190–3197 (2013)

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