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Updated: May 7, 2025

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Unmanned roller lateral positioning method for asphalt road construction.

Pengju Yue1, Xiaohua Xia2, Yongbiao Hu1

  • 1Key Laboratory of Road Construction Technology and Equipment of MOE, Chang'an University, Xi'an, 710064, China.

Scientific Reports
|January 2, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new lateral positioning method for unmanned rollers in asphalt road construction. The method improves accuracy and real-time performance, overcoming limitations of satellite-based systems.

Keywords:
Asphalt road boundary extractionAsphalt road constructionLateral positioningUnmanned rollers

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Area of Science:

  • Robotics and Automation
  • Civil Engineering
  • Computer Vision

Background:

  • Satellite-based positioning systems for unmanned rollers in asphalt construction suffer from signal interference and can lead to deviations from specified compaction areas, impacting quality and safety.
  • Current systems face challenges in maintaining accurate positioning, potentially causing unmanned rollers to drive outside designated zones.

Purpose of the Study:

  • To develop and validate a novel lateral positioning method for unmanned rollers to enhance their positional accuracy relative to asphalt roads.
  • To address the limitations of satellite-based systems by providing a more reliable and precise localization solution for autonomous construction equipment.

Main Methods:

  • Image acquisition from multiple perspectives and creation of a dedicated asphalt road construction dataset.
  • Development of an asphalt road boundary extraction algorithm for precise pixel-level localization.
  • Design and implementation of lateral positioning techniques to measure distances relative to the road edge.

Main Results:

  • The proposed method demonstrated superior performance in extracting asphalt road boundaries.
  • Field validation confirmed excellent accuracy, with a mean relative error of 3.40%.
  • The system achieved a real-time processing frequency of 6.25 Hz, meeting performance requirements.

Conclusions:

  • The developed lateral positioning method effectively overcomes the drawbacks of satellite-based systems for unmanned rollers.
  • The method ensures high accuracy and real-time capabilities essential for quality and safety in asphalt road construction.
  • This advancement supports the reliable deployment of autonomous construction machinery in complex road building environments.