Driver Assistance System Using Image Processing & Pattern Recognition - Couverture souple

Sutar, Vinayak; Admuthe, L.S.; Patil, S.A.

9783330006652: Driver Assistance System Using Image Processing & Pattern Recognition

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ISBN 10 : 333000665X ISBN 13 : 9783330006652

Editeur : LAP LAMBERT Academic Publishing, 2016

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During night time driving conditions in order to change vehicle head lights between low beams and high beams is required to avoid glares for the drivers. Accordingly, high beams output will be selected when no other traffic is present and will be turned on low beams when other vehicles are detected. This system uses a micro-camera mounted in the windshield area and looking at forward of the vehicle. Digital image processing techniques are used to analyze light sources and to detect vehicles in the images. The status of head light is automatically changed between low beams and high beams as per the night driving conditions to avoid glares for the driver. High beams output will be selected when no other traffic is present and low beam will be turned on when other vehicles are detected. The detected bright objects are recognized and classified using support vector machine (SVM) for vehicles light and other light. The distance between camera assisted vehicle and detected vehicle is also estimated using perspective projection technique. The key features of developed system are vehicle’s bright light detection, classification and distance estimation.

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�diteurLAP LAMBERT Academic Publishing
Date d'�dition2016
ISBN 10 333000665X
ISBN 13 9783330006652
ReliureBroch�
Langueanglais
Nombre de pages84
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Driver Assistance System Using Image Processing & Pattern Recognition

Vinayak Sutar|L.S. Admuthe|S.A. Patil

Edit� par LAP LAMBERT Academic Publishing, 2016

ISBN 10 : 333000665X ISBN 13 : 9783330006652

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sutar VinayakMr. Vinayak B. Sutar received M.E. in Electronics Engineering in Shivaji University,Kolhapur,India.He is currently working as Assistant Professor in DKTE s TEI,Ichalkaranji,India. He is having 2 years of Industrial & 8 y. N� de r�f. du vendeur 158852898

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Driver Assistance System Using Image Processing & Pattern Recognition

Vinayak Sutar

Edit� par LAP Lambert Academic Publishing, 2016

ISBN 10 : 333000665X ISBN 13 : 9783330006652

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - During night time driving conditions in order to change vehicle head lights between low beams and high beams is required to avoid glares for the drivers. Accordingly, high beams output will be selected when no other traffic is present and will be turned on low beams when other vehicles are detected. This system uses a micro-camera mounted in the windshield area and looking at forward of the vehicle. Digital image processing techniques are used to analyze light sources and to detect vehicles in the images. The status of head light is automatically changed between low beams and high beams as per the night driving conditions to avoid glares for the driver. High beams output will be selected when no other traffic is present and low beam will be turned on when other vehicles are detected. The detected bright objects are recognized and classified using support vector machine (SVM) for vehicles light and other light. The distance between camera assisted vehicle and detected vehicle is also estimated using perspective projection technique. The key features of developed system are vehicle's bright light detection, classification and distance estimation. N� de r�f. du vendeur 9783330006652

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Driver Assistance System Using Image Processing & Pattern Recognition

Vinayak Sutar

Edit� par LAP Lambert Academic Publishing Dez 2016, 2016

ISBN 10 : 333000665X ISBN 13 : 9783330006652

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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -During night time driving conditions in order to change vehicle head lights between low beams and high beams is required to avoid glares for the drivers. Accordingly, high beams output will be selected when no other traffic is present and will be turned on low beams when other vehicles are detected. This system uses a micro-camera mounted in the windshield area and looking at forward of the vehicle. Digital image processing techniques are used to analyze light sources and to detect vehicles in the images. The status of head light is automatically changed between low beams and high beams as per the night driving conditions to avoid glares for the driver. High beams output will be selected when no other traffic is present and low beam will be turned on when other vehicles are detected. The detected bright objects are recognized and classified using support vector machine (SVM) for vehicles light and other light. The distance between camera assisted vehicle and detected vehicle is also estimated using perspective projection technique. The key features of developed system are vehicle's bright light detection, classification and distance estimation. 84 pp. Englisch. N� de r�f. du vendeur 9783330006652

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Driver Assistance System Using Image Processing & Pattern Recognition

Vinayak Sutar

Edit� par LAP Lambert Academic Publishing Dez 2016, 2016

ISBN 10 : 333000665X ISBN 13 : 9783330006652

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -During night time driving conditions in order to change vehicle head lights between low beams and high beams is required to avoid glares for the drivers. Accordingly, high beams output will be selected when no other traffic is present and will be turned on low beams when other vehicles are detected. This system uses a micro-camera mounted in the windshield area and looking at forward of the vehicle. Digital image processing techniques are used to analyze light sources and to detect vehicles in the images. The status of head light is automatically changed between low beams and high beams as per the night driving conditions to avoid glares for the driver. High beams output will be selected when no other traffic is present and low beam will be turned on when other vehicles are detected. The detected bright objects are recognized and classified using support vector machine (SVM) for vehicles light and other light. The distance between camera assisted vehicle and detected vehicle is also estimated using perspective projection technique. The key features of developed system are vehicle�s bright light detection, classification and distance estimation.Books on Demand GmbH, �berseering 33, 22297 Hamburg 84 pp. Englisch. N� de r�f. du vendeur 9783330006652

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