Chapter
Jun 13, 2017

Error Quantification and Visualization in Using Sensors to Position Backhoe Excavator

Publication: Computing in Civil Engineering 2017

Abstract

This paper describes an analytical model along with a visualizing tool, based on the error propagation theory to quantify and visualize the uncertainty that is present in the position and pose of the excavator obtained from sensor-based measurements regardless of the type of sensors used. A technique is also presented to aid in the selection process of sensors (precision level) for tracking the excavator (pose and position) considering the tradeoff between the level of precision required in field operation on a specific task and the cost of sensors. A conceptual demonstration of field operation at a grading project is also given at the end; detailed workface level planning is made for a self-tracking excavator equipped with multiple sensors to track its bucket position.

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Go to Computing in Civil Engineering 2017
Computing in Civil Engineering 2017
Pages: 150 - 157

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Published online: Jun 13, 2017

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Monjurul Hasan, A.M.ASCE [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Alberta, DICE Bldg., 9211 - 116 St. NW Edmonton, AB, Canada T6G 1H9. E-mail: [email protected]
Ming Lu, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, DICE Bldg., 9211 - 116 St. NW Edmonton, AB, Canada T6G 1H9. E-mail: [email protected]

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