2026-09-18T20:56:25Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1197452026-06-06T00:48:58Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Frédo Durand.
Bhandari, Nishchal
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2018-12-18T19:48:14Z
2018-12-18T19:48:14Z
2018
2018
http://hdl.handle.net/1721.1/119745
1078690124
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).
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.
by Nishchal Bhandari.
M.Eng.
44 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.
Procedural synthetic data for self-driving cars using 3D graphics
Thesis
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