Robust road topology extraction from aerial imagery

Creating and updating road maps is currently an expensive and often manual process, and thus maps today are outdated or have poor coverage in large regions of the world.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.

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Bastani, Favyen

Advisor dc:contributor.advisor

• Samuel Madden.

• Electrical Engineering and Computer Science.

Statement dc:rights

• 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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/118057

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/118057