Detecting, tracking, and warning of traffic threats to police stopped along the roadside
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2014
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Online Access: | http://hdl.handle.net/1721.1/85429 |
_version_ | 1826194625732280320 |
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author | Karraker, James (James D.) |
author2 | Seth Teller. |
author_facet | Seth Teller. Karraker, James (James D.) |
author_sort | Karraker, James (James D.) |
collection | MIT |
description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
first_indexed | 2024-09-23T09:59:10Z |
format | Thesis |
id | mit-1721.1/85429 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T09:59:10Z |
publishDate | 2014 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/854292019-04-11T11:28:50Z Detecting, tracking, and warning of traffic threats to police stopped along the roadside Karraker, James (James D.) Seth Teller. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (pages 65-66). Despite years of research into improving the safety of police roadside stops, reckless drivers continue to injure or kill police personnel stopped on the roadside at an alarming rate. We have proposed to reduce this problem through a "divert and alert" approach, projecting lasers onto the road surface as virtual flares to divert incoming vehicles, and alerting officers of dangerous incoming vehicles early enough to take life-saving evasive action. This thesis describes the initial development of the Officer Alerting Mechanism (OAM), which uses cameras to detect and track incoming vehicles, and calculates their real-world positions and trajectories. It presents a procedure for calibrating the camera software system with the laser, as well as a system that allows an officer to draw an arbitrary laser pattern on the screen that is then projected onto the road. Trajectories violating the "no-go" zone of the projected laser pattern are detected and the officer is accordingly alerted of a potentially dangerous vehicle. by James Karraker. M. Eng. 2014-03-06T15:41:23Z 2014-03-06T15:41:23Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85429 870677348 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 66 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Karraker, James (James D.) Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title | Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title_full | Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title_fullStr | Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title_full_unstemmed | Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title_short | Detecting, tracking, and warning of traffic threats to police stopped along the roadside |
title_sort | detecting tracking and warning of traffic threats to police stopped along the roadside |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/85429 |
work_keys_str_mv | AT karrakerjamesjamesd detectingtrackingandwarningoftrafficthreatstopolicestoppedalongtheroadside |