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The Resource Vehicle positioning using image processing, by Amardeep Kaur, (electronic resource)

Vehicle positioning using image processing, by Amardeep Kaur, (electronic resource)

Creator
Summary
"An imaging-processing approach is described that detects the position of a vehicle on a bridge or similar environment. A load-bearing vehicle must be carefully positioned on a bridge for quantitative bridge monitoring. The personnel required for setup and testing and the time required for bridge closure or traffic control are important management and cost considerations. Consequently, bridge monitoring and inspections are good candidates for smart embedded systems. The objectives of this work are to reduce the need for personnel time and to minimize the time for bridge closure. An approach is proposed that uses a passive target on the bridge and camera instrumentation on the load vehicle. The orientation of the vehicle-mounted camera and the target determine the position. The experiment used pre-defined circles as the target, a FireWire camera for image capture, and MATLAB for computer processing. Various image processing techniques are compared for determining the orientation of the target circles with respect to speed and accuracy in the positioning application. The techniques for determining the target orientation use algorithms based on the centroid method, template matching and color of the target object. Timing parameters are determined for each algorithm to determine the feasibility for real-time use in a position triggering system. The development can be combined with embedded sensors and sensor nodes for a complete automated procedure. As the load vehicle moves to the proper position, the image-based system can trigger an embedded measurement which is then transmitted back to the vehicle control computer through a wireless link"--Abstract, p. iii
Language
eng
Work
Publication
Extent
1 online resource (viii, 75 pages)
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009)
Instance
Label
Vehicle positioning using image processing
Title
Vehicle positioning using image processing
Statement of responsibility
by Amardeep Kaur
Creator
Subject
Genre
Language
eng
Summary
"An imaging-processing approach is described that detects the position of a vehicle on a bridge or similar environment. A load-bearing vehicle must be carefully positioned on a bridge for quantitative bridge monitoring. The personnel required for setup and testing and the time required for bridge closure or traffic control are important management and cost considerations. Consequently, bridge monitoring and inspections are good candidates for smart embedded systems. The objectives of this work are to reduce the need for personnel time and to minimize the time for bridge closure. An approach is proposed that uses a passive target on the bridge and camera instrumentation on the load vehicle. The orientation of the vehicle-mounted camera and the target determine the position. The experiment used pre-defined circles as the target, a FireWire camera for image capture, and MATLAB for computer processing. Various image processing techniques are compared for determining the orientation of the target circles with respect to speed and accuracy in the positioning application. The techniques for determining the target orientation use algorithms based on the centroid method, template matching and color of the target object. Timing parameters are determined for each algorithm to determine the feasibility for real-time use in a position triggering system. The development can be combined with embedded sensors and sensor nodes for a complete automated procedure. As the load vehicle moves to the proper position, the image-based system can trigger an embedded measurement which is then transmitted back to the vehicle control computer through a wireless link"--Abstract, p. iii
Related
Cataloging source
UMR
http://library.link/vocab/creatorDate
1985-
http://library.link/vocab/creatorName
Kaur, Amardeep
Degree
M.S.
Dissertation year
2009.
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Smart structures
  • Image processing
  • Bridge failures
  • Sensor networks
Target audience
specialized
Label
Vehicle positioning using image processing, by Amardeep Kaur, (electronic resource)
Instantiates
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009)
Bibliography note
Includes bibliographical references (pages 72-74)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
352886520
Dimensions
unknown
Extent
1 online resource (viii, 75 pages)
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)352886520
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web
Label
Vehicle positioning using image processing, by Amardeep Kaur, (electronic resource)
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed May 27, 2009)
Bibliography note
Includes bibliographical references (pages 72-74)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
352886520
Dimensions
unknown
Extent
1 online resource (viii, 75 pages)
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)352886520
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web

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