國立虎尾科技大學 |

Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections./
Author:	Chenreddy, Sundeep Reddy.
Description:	1 online resource (52 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9798379558437

Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections.
Chenreddy, Sundeep Reddy.

Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections. - 1 online resource (52 pages)

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--New York University Tandon School of Engineering, 2023.

Includes bibliographical references

In this thesis, the goal of my work is increasing the accessibility of the street intersections for visually impaired people. This is an extension to the CrossSafe paper published by my guide Prof. Edward Wong which was also working towards the same goal. The problem we focus here is to identify the approximate direction of the zebra crossing using a lightweight neural network that is suitable for devices with limited computing power. In this thesis, we make use of both the traditional computer vision tools such as Canny Edge Detector and modern tools such as deep neural networks and propose a methodology to find an approximate direction of the street crossing and evaluate its performance.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379558437Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Zebra crossingIndex Terms--Genre/Form:

554714
Electronic books.

Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections.
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653 $a Visually impaired
653 $a Street intersections
653 $a Edge detector
653 $a Computing power
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