Monocular vision for collision avoidance in vehicles
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2016
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| Online Access: | http://hdl.handle.net/1721.1/101478 |
| _version_ | 1811077379723886592 |
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| author | Veldman, Kyle John |
| author2 | Kamal Youcef-Toumi. |
| author_facet | Kamal Youcef-Toumi. Veldman, Kyle John |
| author_sort | Veldman, Kyle John |
| collection | MIT |
| description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. |
| first_indexed | 2024-09-23T10:42:05Z |
| format | Thesis |
| id | mit-1721.1/101478 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T10:42:05Z |
| publishDate | 2016 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1014782019-04-12T11:48:28Z Monocular vision for collision avoidance in vehicles Veldman, Kyle John Kamal Youcef-Toumi. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015. Cataloged from PDF version of thesis. Includes bibliographical references (page 21). An experimental study facilitated by Ford Global Technologies, Inc. on the potential substitution of stereovision systems in car automation with monocular vision systems. The monocular system pairs a camera and passive lens with an active lens. Most active lenses require linear actuating systems to adjust the optical parameters of the system but this experiment employed an Optotune focus tunable lens adjusted by a Lorentz actuator for a much more reliable system. Tests were conducted in a lab environment to capture images of environmental objects at different distances from the system, pass those images through an image processing algorithm operating a high-pass filter to separate in-focus aspects of the image from out-of focus ones. Although the system is in the early phases of testing, monocular vision shows the ability to replace stereovision system. However, additional testing must be done to acclimate the apparatus to environmental factors, minimize the processing speed, and redesign the system for portability. by Kyle John Veldman. S.B. 2016-03-03T21:03:41Z 2016-03-03T21:03:41Z 2015 2015 Thesis http://hdl.handle.net/1721.1/101478 935927272 eng 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://dspace.mit.edu/handle/1721.1/7582 32 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Veldman, Kyle John Monocular vision for collision avoidance in vehicles |
| title | Monocular vision for collision avoidance in vehicles |
| title_full | Monocular vision for collision avoidance in vehicles |
| title_fullStr | Monocular vision for collision avoidance in vehicles |
| title_full_unstemmed | Monocular vision for collision avoidance in vehicles |
| title_short | Monocular vision for collision avoidance in vehicles |
| title_sort | monocular vision for collision avoidance in vehicles |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/101478 |
| work_keys_str_mv | AT veldmankylejohn monocularvisionforcollisionavoidanceinvehicles |