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Procedural synthetic data for self-driving cars using 3D graphics

Author(s)
Bhandari, Nishchal
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Frédo Durand.
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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
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Abstract
In this thesis we present CoSy, a configurable system for procedurally generating synthetic data for self-driving vehicles. To address the problem of data hungry vision-based learning algorithms used in self-driving vehicles, we develop a system that generates synthetic images, including class level annotations, of street scenes. To give researchers control over how data is generated, our system is designed to be configurable and extendable. We provide two example datasets generated by our system, and provide extensive documentation on how the system is architected, and how it can be extended.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 43-44).
 
Date issued
2018
URI
http://hdl.handle.net/1721.1/119745
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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