Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/39866
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dc.coverage.spatialInvestigations on implementation of road surface detection algorithm for automotive active safety products using support vectoren_US
dc.date.accessioned2015-04-29T10:47:26Z-
dc.date.available2015-04-29T10:47:26Z-
dc.date.issued2015-04-29-
dc.identifier.urihttp://hdl.handle.net/10603/39866-
dc.description.abstractThere are more than 1 billion vehicles on the roads throughout the newlineworld and many people have been killed in car accidents because of the newlinefailure to follow a road or stay on a road Driving a long distance is also a newlinechallenge for individuals As a result driver assistance systems and even newlineunmanned vehicles have been researched for many years to help drivers to newlinedrive safely and comfortably The first requirement of such a system is to newlinedetect other vehicles obstacles road surface Many former driver newlineassistance systems are gradually appearing in new vehicles Recently luxury newlinecars have been equipped with front and rear facing cameras for detecting newlineobjects in front of and behind the vehicle The new vehicles have Blind Spot newlineDetectors which uses camera positioned in both side rear view mirrors This newlinesystem can detect vehicles in the blind spot which humans cannot detect when newlinedriving and is crucial to safe lane changes The next step in driving system newlinedevelopment is to track and follow other vehicles and the road The ultimate newlinegoal is autonomous vehicles which can operate in all environments without newlinedrivers newlineTransportation is crucial to the development and defense of newlinesocieties and nations This is the reason why many countries are developing newlineunmanned systems such as unmanned fighter jets to replace piloted fighter newlinejets robots to replace human soldiers and autonomous vehicles to transport newlinematerials newline newlineen_US
dc.format.extentxiv, 108p.en_US
dc.languageEnglishen_US
dc.relationp101-106.en_US
dc.rightsuniversityen_US
dc.titleInvestigations on implementation of road surface detection algorithm for automotive active safety products using support vectoren_US
dc.title.alternativeen_US
dc.creator.researcherAnbalagan Ten_US
dc.subject.keywordBlind Spot Detectorsen_US
dc.subject.keywordDriving a long distanceen_US
dc.subject.keywordRecently luxury carsen_US
dc.description.notereference p101-106.en_US
dc.contributor.guideShanmugam Aen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Electrical and Electronics Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/10/2014en_US
dc.date.awarded30/10/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Electrical and Electronics Engineering

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01_title.pdfAttached File211.47 kBAdobe PDFView/Open
02_certificate.pdf844.48 kBAdobe PDFView/Open
03_abstract.pdf8.31 kBAdobe PDFView/Open
04_acknowledgement.pdf5.82 kBAdobe PDFView/Open
05_content.pdf16.61 kBAdobe PDFView/Open
06_chapter1.pdf281.99 kBAdobe PDFView/Open
07_chapter2.pdf2.76 MBAdobe PDFView/Open
08_chapter3.pdf524.13 kBAdobe PDFView/Open
09_chapter4.pdf297.96 kBAdobe PDFView/Open
10_chapter5.pdf177.77 kBAdobe PDFView/Open
11_chapter6.pdf8.99 kBAdobe PDFView/Open
12_reference.pdf16.42 kBAdobe PDFView/Open
13_publication.pdf6.55 kBAdobe PDFView/Open


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