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The non-contact 3D sensing technology, though achieved many success in a variety of applications, needs an automation system to expand its applications to automotive industries for 3D shape inspection. The reason is the difficulty for an operator to find an optimal solution by the manual control of sensor viewpoints. The problem of this industrial application is the capability for the sensing system...
For 3D dimensional inspection systems, point clouds measured on each viewpoint need to be processed for quality evaluation. Three steps are usually included in this process: filtering, registration, and error map generation. For quality control, small defects like dints and dents have to be kept in the point cloud. Therefore, a filtering algorithm is required to automatically remove outliers and keep...
Accuracy is essential to surface quality control when a range sensor is applied to measure the 3D shape of an automotive body part. A sensor's viewing pose, including location and orientation, is related to measurement accuracy. It is usually difficult to find an optimal solution by manual control of sensor viewpoints. A CAD-guided robot view planner developed previously can automatically generate...
This paper introduces a novel robotic range sensor planning system, which is developed for 3D dimensional inspection of automotive body parts. For active, triangulation-based range sensors, shadow and reflection causes problems when measure a metal part with glossy and discontinuous surface. To solve these problems, a feedback based dynamic view planning system is proposed, which not only generate...
This paper introduces an automated 3D optical measurement system. In industrial inspection, coordinate measurement machines (CMMs) provide accurate measurement but are very time consuming because only one point can be acquired each time. An area sensor based robotic 3D measurement system can acquire an automotive part's surface patch-by-patch, which reduces the inspection time significantly. This...
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