Positioning Laser Line Detection Algorithm of Construction Robot Based on LSD and Improved Least Squares Method

A laser line detection algorithm for the positioning of construction robots based on Line Segment Detector (LSD) and an improved least squares method (LSM) is proposed to address the line finding and localization requirements in actual construction operations. After preprocessing and edge detection...

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Published in:2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) pp. 1 - 6
Main Authors: Xu, Chunyu, Dou, Jianping, Feng, Zhuotao
Format: Conference Proceeding
Language:English
Published: IEEE 21.11.2023
Subjects:
Detection algorithms
edge detection
image processing
Image segmentation
improved least squares method
Lasers
Least mean squares methods
LSD
Object segmentation
positioning laser line detection
Robots
Robustness
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Abstract A laser line detection algorithm for the positioning of construction robots based on Line Segment Detector (LSD) and an improved least squares method (LSM) is proposed to address the line finding and localization requirements in actual construction operations. After preprocessing and edge detection of the input image, the LSD algorithm is utilized to detect line segments representing the laser lines for positioning. These line segments are then converted into a point set containing information about the laser lines' positions. To overcome the limitations of traditional least squares method that relies on vertical errors, an improved least squares method is employed to fit the centerline of the laser lines, which serves as a reference for subsequent robot localization. Experimental results demonstrate that the proposed algorithm accurately detects and fits the centerline of the laser lines in the input image, and exhibits high robustness and accuracy.
AbstractList A laser line detection algorithm for the positioning of construction robots based on Line Segment Detector (LSD) and an improved least squares method (LSM) is proposed to address the line finding and localization requirements in actual construction operations. After preprocessing and edge detection of the input image, the LSD algorithm is utilized to detect line segments representing the laser lines for positioning. These line segments are then converted into a point set containing information about the laser lines' positions. To overcome the limitations of traditional least squares method that relies on vertical errors, an improved least squares method is employed to fit the centerline of the laser lines, which serves as a reference for subsequent robot localization. Experimental results demonstrate that the proposed algorithm accurately detects and fits the centerline of the laser lines in the input image, and exhibits high robustness and accuracy.
Author Dou, Jianping
Xu, Chunyu
Feng, Zhuotao
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  organization: School of Mechanical Engineering, Southeast University, SEU,Nanjing,China
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  givenname: Jianping
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  givenname: Zhuotao
  surname: Feng
  fullname: Feng, Zhuotao
  email: 1981887844@qq.com
  organization: School of Mechanical Engineering, Southeast University, SEU,Nanjing,China
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Snippet A laser line detection algorithm for the positioning of construction robots based on Line Segment Detector (LSD) and an improved least squares method (LSM) is...
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SubjectTerms Detection algorithms
edge detection
image processing
Image segmentation
improved least squares method
Lasers
Least mean squares methods
LSD
Object segmentation
positioning laser line detection
Robots
Robustness
Title Positioning Laser Line Detection Algorithm of Construction Robot Based on LSD and Improved Least Squares Method
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