Research Paper Report

Manhole detection using image processing on Google Street View imagery

Date of Submission
28th Jan 2022

General Information:

Year Of Paper Submission : 2019-20
Type of Applicant : Student
Selected Course : UG
Department of Applicant : ETRX
Class of Applicant : B.E.

Applicants Details:

UCID of Applicant : 2017110063
Applicant Name : Vinay Vishnani
Applicant Email : vinay.vishnani@spit.ac.in
Applicant Contact Number : 9004165091.000000
UCID of Applicant No. 2 : 2017110002.000000
Applicant No. 2 Name : Anikait Adhya
Applicant No. 2 Email : anikait.adhya@spit.ac.in
Applicant No. 2 Contact Number : 9167657956
UCID of Applicant No. 3 : 2017110004
Applicant No. 3 Name : Chinmay Bajpai, -
Applicant No. 3 Email : chinmay.bajpai@spit.ac.in
Applicant No. 3 Contact Number : 9987045052

Guide Details:

Department of Guide No. 1 : Computer Engineering
Name of First Guide : Dr. D. R. Kalbande

Paper Details:

Title of Paper : Manhole detection using image processing on Google Street View imagery
Type of Paper : Conference
Type of Publication : International
Conference_Type : IEEE
Name of the Hosting Institute of the Conference : Francis Xavier Engineering College
Address of Host Institute : 103/G2, Bypass Road, Vannarpettai, Tirunelveli - 627003 Tamil Nadu, India.
ISBN : 978-1-7281-5821-1
DOI : 10.1109/ICSSIT48917.2020.9214219
Citation of Journal : V. Vishnani, A. Adhya, C. Bajpai, P. Chimurkar and K. Khandagle, "Manhole Detection using Image Processing on Google Street View imagery," 2020 Third International Conference on Smart Systems and Inve
Remark : Manhole Detection using Image Processing on Google Street View imagery.pdf

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Status Of Application : verified