2026-09-18T22:00:20Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/167282022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Hae-Seung Lee.
Spaeth, Mark Christian, 1974-
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2005-05-19T14:22:30Z
2005-05-19T14:22:30Z
1999
1999
http://hdl.handle.net/1721.1/16728
43564452
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
Includes bibliographical references (p. 95-96).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
In recent years, automobiles have become increasingly computerized and varying degrees of intelligent control has been integrated into automotive systems. A natural extension of this trend is full intelligent and autonomous control of vehicle by onboard computer systems. This thesis presents the design, development, and construction of a low-cost, low-power vision system suitable for on-board automated vehicle systems such as intelligent cruise control. The apparatus leverages vision algorithms, simplified by a prescribed camera geometry, to compute depth maps in real-time, given the input from three imagers mounted on the vehicle. The early vision algorithms are implemented using Dr. David Martin's ADAP mixed signal array processor. The back-end algorithms are mplemented in software on PC for simplicity, but could easily be implemented in hardware in a later design. The final apparatus was able to compute depth maps at a rate of 24 frames per second, limited only by the interrupt latency of the PC executing the algorithms.
by Mark Christian Spaeth.
S.M.
96 p.
982880 bytes
982636 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://theses.mit.edu:80/Dienst/UI/2.0/Describe/0018.mit.etheses%2f1999-8
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science
A low-cost hybrid vision system for intelligent cruise control applications
Thesis
application/pdf
false
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="995a28d9-fcb7-475e-8a7e-dffbf27d7b79">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Language>eng</Language>
<Title>A low-cost hybrid vision system for intelligent cruise control applications</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>1999</PublicationDate>
<Authors>
<Author>
<DisplayName>Spaeth, Mark Christian, 1974-</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>http://theses.mit.edu:80/Dienst/UI/2.0/Describe/0018.mit.etheses%2f1999-8</License>
<License>http://dspace.mit.edu/handle/1721.1/7582</License>
<Keyword>Electrical Engineering and Computer Science</Keyword>
<Abstract>In recent years, automobiles have become increasingly computerized and varying degrees of intelligent control has been integrated into automotive systems. A natural extension of this trend is full intelligent and autonomous control of vehicle by onboard computer systems. This thesis presents the design, development, and construction of a low-cost, low-power vision system suitable for on-board automated vehicle systems such as intelligent cruise control. The apparatus leverages vision algorithms, simplified by a prescribed camera geometry, to compute depth maps in real-time, given the input from three imagers mounted on the vehicle. The early vision algorithms are implemented using Dr. David Martin's ADAP mixed signal array processor. The back-end algorithms are mplemented in software on PC for simplicity, but could easily be implemented in hardware in a later design. The final apparatus was able to compute depth maps at a rate of 24 frames per second, limited only by the interrupt latency of the PC executing the algorithms.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>