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dc.contributor.advisorKim, Won-jongen_US
dc.creatorMinocher Homji, Ruzbeh Adien_US
dc.date.accessioned2006-10-30T23:29:49Z
dc.date.available2006-10-30T23:29:49Z
dc.date.created2005-08en_US
dc.date.issued2006-10-30
dc.identifier.urihttp://hdl.handle.net/1969.1/4328
dc.description.abstractThis thesis presents an endeavor to design and construct a prototype of an automated road repair vehicle called the Intelligent Pothole Repair Vehicle (IPRV). The IPRV is capable of automatically detecting and filling potholes on road surfaces without operator assistance. An easy-to-construct mechanical means of pothole detection was employed to reduce costs and complexity that have thus far been the primary disadvantage of automated road repair vehicles. A network interface to an Ethernet was designed based on the transmission control protocol (TCP) to enable remote operability of the IPRV. A laptop computer was used onboard the IPRV for control and interfacing using a data-acquisition card installed on it. The Visual Basic® programming language and the Windows application programming interface (API) were used for all the programming requirements of this thesis. The IPRV employs feedback mechanisms for position control and path following. Operation has been designed to incorporate safety mechanisms that ensure that the IPRV automatically stops in the case of a loss of communication link or large network delays. Experiments were performed to test and calibrate the IPRV. The IPRV was designed to detect potholes that have a maximum depth greater than 2 cm.en_US
dc.format.extent2607669 bytes
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
dc.subjectPotholeen_US
dc.subjectsemiautonomous mobile vehicleen_US
dc.subjectremote controlen_US
dc.subjectautomated road repairen_US
dc.titleIntelligent pothole repair vehicleen_US
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineMechanical Engineeringen_US
thesis.degree.grantorTexas A&M Universityen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelMastersen_US
dc.contributor.committeeMemberDatta, Aniruddhaen_US
dc.contributor.committeeMemberMcDermott, Makeen_US
dc.type.genreElectronic Thesisen_US
dc.type.materialtexten_US
dc.format.digitalOriginborn digitalen_US


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