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Finding the Direction of Zebra Cross...

Chenreddy, Sundeep Reddy.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections./
作者:	Chenreddy, Sundeep Reddy.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	52 p.
附註:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492791
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. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 52 p.

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

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

This item must not be sold to any third party vendors.

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.

ISBN: 9798379558437Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Zebra crossing

Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections.
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300 $a 52 p.
500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Wong, Edward.
502 $a Thesis (M.S.)--New York University Tandon School of Engineering, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a 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.
590 $a School code: 1988.
650 4 $a Computer science. $3 523869
650 4 $a Remote sensing. $3 535394
650 4 $a Transportation. $3 555912
653 $a Zebra crossing
653 $a Visually impaired
653 $a Street intersections
653 $a Edge detector
653 $a Computing power
690 $a 0984
690 $a 0799
690 $a 0709
710 2 $a New York University Tandon School of Engineering. $b Computer Science & Engineering. $3 3698754
773 0 $t Masters Abstracts International $g 84-11.
790 $a 1988
791 $a M.S.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492791