Journal of Information Technology in Construction
ITcon Vol. 20, pg. 213-229, http://www.itcon.org/2015/15
Feasibility of In-Plane Articulation Monitoring of Excavator Arm Using Planar Marker Tracking
submitted: | July 2014 | |
revised: | December 2014 | |
published: | February 2015 | |
editor(s): | Turk Z | |
authors: | Ehsan Rezazadeh Azar, Assistant Professor Department of Civil Engineering, Lakehead University Email: eazar@lakeheadu.ca Chen Feng, PhD Candidate Department of Civil and Environmental Engineering, University of Michigan Email: cforrest@umich.edu Vineet R. Kamat, Associate Professor Department of Civil and Environmental Engineering, University of Michigan Email: vkamat@umich.edu | |
summary: | Achieving accurate excavation profiles is a challenging task for excavator operators who typically use the directions of a grade-person to achieve design grades and levels. Allocation of an extra person is costly and requires constant communication between an operator and the grade-person, which reduces productivity. As a result, several machine control technology providers have developed angle sensor packages to monitor the pose of the excavator components in real-time. These systems, however, are expensive and their installation and calibration are costly and time consuming. This paper presents a generic and scalable computer-vision based framework for real-time pose estimation of an excavators boom and dipper (stick) using low-cost markers installed on the side of the arms. The hardware components of this system are inexpensive and the setup process is quick and straightforward. The system demonstrated promising performance and has been shown to measure boom and dipper angles with an average uncertainty of less than 0.75° in real-time. | |
keywords: | Machine Control, Pose Estimation, Computer Vision, Excavation, Marker-Based Recognition | |
full text: | (PDF file, 1.018 MB) | |
citation: | Rezazadeh Azar E, Feng C, Kamat V R (2015). Feasibility of In-Plane Articulation Monitoring of Excavator Arm Using Planar Marker Tracking, ITcon Vol. 20, pg. 213-229, https://www.itcon.org/2015/15 |