Graph-based surface merging in CAD-guided dimensional inspection of automotive parts

Author

Sheng, Weihua ; Xi, Ning ; Song, Mumin ; Chen, Yifan

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA

Volume

3

fYear

2001

fDate

2001

Firstpage

3127

Abstract

A CAD-guided camera planning system for dimensional inspection of automotive parts has been developed. This system utilizes the CAD information of inspected parts and the camera model to plan camera viewpoints that satisfy certain task constraints. To overcome some limitation inherited in the existing method, a new CAD data representation is adopted to combine the advantages of parametric surface and triangulation. A graph-based surface merging algorithm is proposed to reduce the number of flat patches, and eventually, the number of viewpoints. Tests on different real part models show that the surface merging algorithm is effective. This algorithm can also benefit many other CAD-guided robot path planning applications.

Keywords

CAD; automatic optical inspection; automobile industry; data structures; image sensors; rendering (computer graphics); virtual reality languages; CAD data representation; CAD-guided camera planning system; CAD-guided dimensional inspection; CAD-guided robot path planning applications; automotive parts; camera viewpoints; flat patches; graph-based surface merging; parametric surface; task constraints; triangulation; Automotive engineering; Cameras; Inspection; Laboratories; Merging; Optical sensors; Path planning; Robot sensing systems; Sensor systems and applications; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on

ISSN

1050-4729

Print_ISBN

0-7803-6576-3

Type

conf

DOI

10.1109/ROBOT.2001.933098

Filename

933098