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

Xu, Jiaqi; Yoon, Hwan‐Sik; Lee, Jae Young; Kim, Seonggon

doi:10.4271/2016-01-8122

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…This method requires a synthetic dataset to train the detector and only estimates the 2D orientation [ 15 ]. Xu et al [ 16 , 17 ] described a neural network-based structure to estimate excavator cylinder displacements. Simulation results illustrate that the system could be used to measure the manipulator position, but neural network training requires a lot of data and lacks orientation estimation.…”

Section: Related Workmentioning

confidence: 99%

Pose Estimation of Excavator Manipulator Based on Monocular Vision Marker System

Zhao

Tian

2021

Sensors

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Excavation is one of the broadest activities in the construction industry, often affected by safety and productivity. To address these problems, it is necessary for construction sites to automatically monitor the poses of excavator manipulators in real time. Based on computer vision (CV) technology, an approach, through a monocular camera and marker, was proposed to estimate the pose parameters (including orientation and position) of the excavator manipulator. To simulate the pose estimation process, a measurement system was established with a common camera and marker. Through comprehensive experiments and error analysis, this approach showed that the maximum detectable depth of the system is greater than 11 m, the orientation error is less than 8.5°, and the position error is less than 22 mm. A prototype of the system that proved the feasibility of the proposed method was tested. Furthermore, this study provides an alternative CV technology for monitoring construction machines.

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Section: Related Workmentioning

confidence: 99%

Pose Estimation of Excavator Manipulator Based on Monocular Vision Marker System

Zhao

Tian

2021

Sensors

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Vision-based estimation of excavator manipulator pose for automated grading control

Yoon

2019

Automation in Construction

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

Cited by 2 publications

References 7 publications

Pose Estimation of Excavator Manipulator Based on Monocular Vision Marker System

Pose Estimation of Excavator Manipulator Based on Monocular Vision Marker System

Vision-based estimation of excavator manipulator pose for automated grading control

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