University of Illinois Urbana-Champaign

Extracting curbside storm drain locations from street-level images

Depwe, Elizabeth E.

Content Files
DEPWE-THESIS-2015.pdf
DEPWE_Thesis_Code.zip

Permalink

https://hdl.handle.net/2142/88213

Description

Title
Extracting curbside storm drain locations from street-level images
Author(s)
Depwe, Elizabeth E.
Issue Date
2015-07-17
Director of Research (if dissertation) or Advisor (if thesis)
Peschel, Joshua
Committee Member(s)
Rutherford, Cassandra
Department of Study
Civil & Environmental Engineering
Discipline
Civil Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Date of Ingest
2015-09-29T20:50:18Z
Keyword(s)
  • infrastructure assessment
  • computer vision
  • Google Street View
  • data mining
  • stormwater management
  • image detection
  • image processing
Abstract
This thesis presents a machine vision procedure to identify and extract storm drain locations from natural images along surface street curbsides. Existing storm drain infrastructure information is commonly reposed by managing agencies in either paper or digital format. Access to these data for urban hydrologic and hydraulic modeling purposes may be limited by security protocols and/or the format in which the data may be available. The procedure described in this work uses a novel vision algorithm with Google Street View imagery to identify and extract the locations of curbside storm drains. Results are converted into a tabular format that can be converted into geometric input files for modeling purposes. This fast, approximation approach to assembling storm drain data could be of interest to public works managers, urban hydrology and hydraulics practitioners and researchers, and citizen scientists, to improve general understanding of the civil and environmental infrastructure.
Graduation Semester
2015-8
Type of Resource
text
Permalink
http://hdl.handle.net/2142/88213
Copyright and License Information
Copyright 2015 Elizabeth E. Depwe

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