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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
Summary
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.
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.
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