Wheel alignment inspection by 3D point cloud monitoring

Autor: Hyunwoo Bang, Dongyoub Baek, Sungmin Cho
Rok vydání: 2014
Předmět:
Zdroj: Journal of Mechanical Science and Technology. 28:1465-1471
ISSN: 1976-3824
1738-494X
DOI: 10.1007/s12206-014-0133-3
Popis: Today’s wheel alignment inspection systems adopt various computer vision technologies. They, however, require high-end cameras, precisely manufactured targets, and massive calculation loops because they rely on low-dimensional data (two-dimensional images) for measuring higher-dimensional information (three-dimensional orientation) of the wheel posture. To improve this, a simple and inexpensive method using a consumer-grade depth-sensing camera such as Kinect is presented. It directly utilizes point clouds generated from its range image stream. All points within the region of interest (ROI) contain geometrical information of the wheel and are used for the alignment inspection procedures. Its feasibility is evaluated by examining whether the orientation could be aligned to the desired orientation using only the point cloud data. For verification, a one-wheel-based prototype was implemented, and comparative experiments with an existing commercial system were conducted. The experimental results showed that the proposed method provides satisfactory performance. We believe that the proposed method is feasible for practical usage and has a great potential to be an effective alternative to existing wheel alignment inspection methods.
Databáze: OpenAIRE
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