Estimation of Excavator Manipulator Position Using Neural Network-Based Vision System

Paper #:
  • 2016-01-8122

Published:
  • 2016-09-27
DOI:
  • 10.4271/2016-01-8122
Citation:
Xu, J., Yoon, H., Lee, J., and Kim, S., "Estimation of Excavator Manipulator Position Using Neural Network-Based Vision System," SAE Technical Paper 2016-01-8122, 2016, doi:10.4271/2016-01-8122.
Pages:
9
Abstract:
A neural network-based computer vision system is developed to estimate position of an excavator manipulator in real time. A camera is used to capture images of a manipulator, and the images are down-sampled and used to train a neural network. Then, the trained neural network can estimate the position of the excavator manipulator in real time. To study the feasibility of the proposed system, a webcam is used to capture images of an excavator simulation model and the captured images are used to train a neural network. The simulation results show that the developed neural network-based computer vision system can estimate the position of the excavator manipulator with an acceptable accuracy.
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