Object Localization and Depth Estimation for Eye-in-Hand Manipulator Using Mono Camera

Object Localization and Depth Estimation for Eye-in-Hand Manipulator Using Mono Camera

This paper proposes the object localization and depth estimation to select and set goals for robots via machine vision. An algorithm based on a deep region-based convolution neural network (R-CNN) will recognize targets and non-targets. After the targets are recognized, we employed both the k-neares...

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Bibliographic Details
Main Authors: Muslikhin, Jenq-Ruey Horng, Szu-Yueh Yang, Ming-Shyan Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Region-based convolution neural network
eye-in-hand manipulator
machine vision
robotics
automation
Online Access:https://ieeexplore.ieee.org/document/9136645/

Internet

https://ieeexplore.ieee.org/document/9136645/

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