Procedural synthetic data for self-driving cars using 3D graphics
Name
1078690124-MIT.pdf
Description
Full printable version
Size
22.01 MB
Format
Adobe PDF
Checksum (MD5)
4f3b43b038d267aef9b230bd33158ab6
Author(s)
Bhandari, Nishchal
Advisor(s)
Frédo Durand.
Date Issued
2018
Publisher
Massachusetts Institute of Technology
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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