Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment
Abstract Wheel alignment, consisting of properly checking the wheel characteristic angles against vehicle manufacturers' specifications, is a crucial task in the automotive field since it prevents irregular tyre wear and affects vehicle handling and safety. In recent years, systems based on Mac...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2013-05-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.5772/55928 |
| _version_ | 1828929687725801472 |
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| author | Rocco Furferi Lapo Governi Yary Volpe Monica Carfagni |
| author_facet | Rocco Furferi Lapo Governi Yary Volpe Monica Carfagni |
| author_sort | Rocco Furferi |
| collection | DOAJ |
| description | Abstract Wheel alignment, consisting of properly checking the wheel characteristic angles against vehicle manufacturers' specifications, is a crucial task in the automotive field since it prevents irregular tyre wear and affects vehicle handling and safety. In recent years, systems based on Machine Vision have been widely studied in order to automatically detect wheels' characteristic angles. In order to overcome the limitations of existing methodologies, due to measurement equipment being mounted onto the wheels, the present work deals with design and assessment of a 3D machine vision-based system for the contactless reconstruction of vehicle wheel geometry, with particular reference to characteristic planes. Such planes, properly referred to as a global coordinate system, are used for determining wheel angles. The effectiveness of the proposed method was tested against a set of measurements carried out using a commercial 3D scanner; the absolute average error in measuring toe and camber angles with the machine vision system resulted in full compatibility with the expected accuracy of wheel alignment systems. |
| first_indexed | 2024-12-14T00:21:58Z |
| format | Article |
| id | doaj.art-58fdb405c7574b248794d28735de92f8 |
| institution | Directory Open Access Journal |
| issn | 1729-8814 |
| language | English |
| last_indexed | 2024-12-14T00:21:58Z |
| publishDate | 2013-05-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-58fdb405c7574b248794d28735de92f82022-12-21T23:25:10ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142013-05-011010.5772/5592810.5772_55928Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel AlignmentRocco Furferi0Lapo Governi1Yary Volpe2Monica Carfagni3 Department of Mechanics and Industrial Technologies, University of Firenze, Italy Department of Mechanics and Industrial Technologies, University of Firenze, Italy Department of Mechanics and Industrial Technologies, University of Firenze, Italy Department of Mechanics and Industrial Technologies, University of Firenze, ItalyAbstract Wheel alignment, consisting of properly checking the wheel characteristic angles against vehicle manufacturers' specifications, is a crucial task in the automotive field since it prevents irregular tyre wear and affects vehicle handling and safety. In recent years, systems based on Machine Vision have been widely studied in order to automatically detect wheels' characteristic angles. In order to overcome the limitations of existing methodologies, due to measurement equipment being mounted onto the wheels, the present work deals with design and assessment of a 3D machine vision-based system for the contactless reconstruction of vehicle wheel geometry, with particular reference to characteristic planes. Such planes, properly referred to as a global coordinate system, are used for determining wheel angles. The effectiveness of the proposed method was tested against a set of measurements carried out using a commercial 3D scanner; the absolute average error in measuring toe and camber angles with the machine vision system resulted in full compatibility with the expected accuracy of wheel alignment systems.https://doi.org/10.5772/55928 |
| spellingShingle | Rocco Furferi Lapo Governi Yary Volpe Monica Carfagni Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment International Journal of Advanced Robotic Systems |
| title | Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment |
| title_full | Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment |
| title_fullStr | Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment |
| title_full_unstemmed | Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment |
| title_short | Design and Assessment of a Machine Vision System for Automatic Vehicle Wheel Alignment |
| title_sort | design and assessment of a machine vision system for automatic vehicle wheel alignment |
| url | https://doi.org/10.5772/55928 |
| work_keys_str_mv | AT roccofurferi designandassessmentofamachinevisionsystemforautomaticvehiclewheelalignment AT lapogoverni designandassessmentofamachinevisionsystemforautomaticvehiclewheelalignment AT yaryvolpe designandassessmentofamachinevisionsystemforautomaticvehiclewheelalignment AT monicacarfagni designandassessmentofamachinevisionsystemforautomaticvehiclewheelalignment |