Open document
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General information |
| Author |
Furferi, Rocco; Governi, Lapo; Volpe, Yary; Carfagni, Monica |
| Published |
InTech Open Access Publisher, 2013
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| Abstract |
Wheel alignment, consisting of properly
checking the wheel characteristic angles against vehicle
manufacturersʹ 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. |
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International Journal of Advanced Robotic Systems
Author: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Published: 2004
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