Robust road topology extraction from aerial imagery
Name
1051460450-MIT.pdf
Description
Full printable version
Size
7.57 MB
Format
Adobe PDF
Checksum (MD5)
76f79ea385b25cd08d621c4c5deaa9c3
Author(s)
Bastani, Favyen
Advisor(s)
Samuel Madden.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
Creating and updating road maps is currently an expensive and often manual process, and thus maps today are outdated or have poor coverage in large regions of the world. Automatically inferring the road network graph from aerial imagery provides a promising avenue to reducing the cost of maintaining road maps, but existing inference methods have poor precision. This thesis develops a novel iterative graph construction process for extracting graph structures from images, and applies this process to automatic road topology inference to significantly reduce error rates.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 63-65).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
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