2026-09-21T20:07:22Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1180572022-01-13T07:54:01Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Samuel Madden.
Bastani, Favyen
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-09-17T15:55:37Z
2018-09-17T15:55:37Z
2018
2018
http://hdl.handle.net/1721.1/118057
1051460450
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).
Creating and updating road maps is currently an expensive and often manual process, and thus maps today are outdated or have poor coverage in large regions of the world.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.
by Favyen Bastani.
S.M.
65 pages
eng
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Robust road topology extraction from aerial imagery
Thesis
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