國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,手稿 : 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.
面頁冊數:	1 online resource (52 pages)
附註:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
標題:	Computer science. -
電子資源:	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.
LDR:02099ntm a2200397K 4500 001 1141269
005 20240311061557.5
006 m o d
007 cr mn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379558437
035 $a (MiAaPQ)AAI30492791
035 $a AAI30492791
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Chenreddy, Sundeep Reddy. $3 1464955
245 1 0 $a Finding the Direction of Zebra Crossing to Assist the Visually Impaired in Navigating Street Intersections.
264 0 $c 2023
300 $a 1 online resource (52 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Remote sensing. $3 557272
650 4 $a Transportation. $3 558117
653 $a Zebra crossing
653 $a Visually impaired
653 $a Street intersections
653 $a Edge detector
653 $a Computing power
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
690 $a 0799
690 $a 0709
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a New York University Tandon School of Engineering. $b Computer Science & Engineering. $3 1464956
773 0 $t Masters Abstracts International $g 84-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30492791 $z click for full text (PQDT)