2026-09-19T20:59:56Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1178592026-06-06T00:56:27Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Kamal Youcef-Toumi.
Kim, JooHun
Massachusetts Institute of Technology. Department of Mechanical Engineering.
Massachusetts Institute of Technology. Department of Mechanical Engineering
2018-09-17T15:47:25Z
2018-09-17T15:47:25Z
2016
2016
http://hdl.handle.net/1721.1/117859
1048612405
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 85-86).
The usage of image processing in automotive active safety systems has increased dramatically in the recent decades. Main interest of the digital signal processing has been in the area of communications or networks, but with various advancements in the digital image processing, new type of applications has become possible. The advancement of digital camera technology along with the fast pace of development of faster microprocessors, it has become possible to implement more advanced image processing tasks for high-speed applications. The availability of image processing results in a timely fashion opens up new possibilities. In this project, sponsored by Ford, we will look at the use of machine vision system to build a standalone system capable of providing real-time depth map for automated emergency brake systems in cars.
by JooHun Kim.
M.Eng.
86 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
Mechanical Engineering.
High-speed optics based depth mapping for automated active safety system
Thesis
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