NDLI: Recursive Measurement Process for Improving Accuracy of Dimensional Inspection of Automotive Body Parts

Content Provider	IEEE Xplore Digital Library
Author	Quan Shi Ning Xi Weihua Sheng
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI (Quan Shi; Ning Xi)
Abstract	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 viewpoints. Measurement accuracy can be satisfied in a certain range. However, the unpredictable image noises, especially in regions with low intensity contrast, cannot be compensated by the CAD-guided robot view planner. In another aspect, measurement accuracy is evaluated all over the part surface. The local accuracy of a small patch may exceed the measurement tolerance. In this paper, feedback design is applied to the CAD-guided robot sensor planning system. The feedback controller can evaluate the accuracy of obtained point clouds, identify problem regions, and generate new viewpoints. This process is recursively executed until the measurement accuracy reaches to a tolerant value. This feedback-based inspection system had been implemented in previous work to fill holes of a point cloud, which are caused by shadows and light reflections. In this paper, the feedback controller is specifically designed to improve the measurement accuracy. Experimental results show the success of applying this feedback system for dimensional inspection of an automotive body part.
Sponsorship	IEEE Robotics and Automation Soc
Starting Page	4764
Ending Page	4769
File Size	849496
Page Count	6
File Format	PDF
ISBN	1424406013
ISSN	10504729
DOI	10.1109/ROBOT.2007.364213
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-04-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Inspection Automotive engineering Robot sensing systems Shape measurement Robotics and automation Feedback Adaptive control Clouds Quality control Shape control
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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