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Quantification of line tracking solutions for automotive applications

Jane Shi, Rick F. Rourke, Dave Groll, Peter W. Tavora

Year
2008
Citations
2

Abstract

Unlike line tracking in automotive painting applications, line tracking for automotive general assembly applications requires position tracking in order to perform assembly operations to a required assembly tolerance. Line tracking quantification experiments have been conducted for a total of 16 test cases for two line tracking scenarios with three types of line tracking solutions: encoder based tracking, encoder plus static vision based tracking, and the analog sensor-based tracking for general assembly robotic automation. This paper presents the quantification results and identifies two key performance drivers fro line tracking for automotive assembly applications.

Keywords

Automotive industryTracking (education)Tracking systemComputer scienceAutomationLine (geometry)EncoderAssembly lineArtificial intelligenceComputer vision

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