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A computational vision system for joint angle sensing

The research described was aimed at developing passive vision techniques to perform kinematic calibration for a multi-link manipulator, in near real time. Working with a single image of the arm of a Caterpillar excavator, edges are extracted first, then the constrained nature of the problem allows filtering of edge elements to select only those potentially arising from the arm. A model based matching process is performed on this refined data to determine the desired joint angles quickly and efficiently. Methods of exploiting the parallel nature of these techniques are also described. / Science, Faculty of / Computer Science, Department of / Graduate

Identiferoai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/28029
Date January 1988
CreatorsMulligan, I. Jane
PublisherUniversity of British Columbia
Source SetsUniversity of British Columbia
LanguageEnglish
Detected LanguageEnglish
TypeText, Thesis/Dissertation
RightsFor non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use https://open.library.ubc.ca/terms_of_use.

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