Abstract

Construction materials and related management, handling, and storage provisions account for a large portion of road construction expenses. For that reason, improved material flow monitoring techniques can achieve significant cost and time savings, as well as better quality control. This study assessed the performance of a solid-state pulsed time-of-flight laser lidar profilometer in measuring the volume of soil stockpiles and road layer thicknesses. The 3D (X, Y, Z, and intensity) image calculation was based on the analysis of multiple combined point clouds measured with an excavator-integrated profilometer. Error analysis confirmed the accuracy of road layer thickness estimation within one centimeter and an error level of approximately 3% when measuring soil stockpile volumes. In conjunction with a theoretical model of the superstructure, this 3D measurement technique can help contractors and supervisors ensure road quality.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

We gratefully acknowledge funding from Business Finland (38056/31/2020) and the Academy of Finland under Grant (339997). In addition, the authors thank Mr. Jarmo Kuure and Mr. Samuli Anttila of the Educational Consortium OSAO Haukipudas, Finland for their arrangements and participation in experimental tests.

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Go to Journal of Transportation Engineering, Part B: Pavements
Journal of Transportation Engineering, Part B: Pavements
Volume 149Issue 1March 2023

History

Received: Jan 14, 2022
Accepted: Sep 30, 2022
Published online: Nov 26, 2022
Published in print: Mar 1, 2023
Discussion open until: Apr 26, 2023

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Adjunct Professor, Faculty of Technology, Civil Engineering, Univ. of Oulu, P.O. Box 4000, Oulu FI-90014, Finland (corresponding author). ORCID: https://orcid.org/0000-0002-9940-6072. Email: [email protected]
Matti Immonen [email protected]
Doctor of Technology Candidate, Faculty of Technology, Civil Engineering, Univ. of Oulu, P.O. Box 4000, Oulu FI-90014, Finland. Email: [email protected]
Doctor Researcher, Faculty of Information Technology and Electrical Engineering, Circuits and Systems Research Unit, Univ. of Oulu, P.O. Box 7300, Oulu FI-90014, Finland. ORCID: https://orcid.org/0000-0002-7271-0189. Email: [email protected]
Martti Mikkonen [email protected]
Doctor of Technology Candidate, Mitta Oy, Laakeritie 9, Oulu FI-90620, Finland. Email: [email protected]
Visa Hokkanen [email protected]
Director, Infrakit Group Oy, Linnoitustie 4B, Espoo 02600, Finland. Email: [email protected]
Takeshi Hashimoto, Dr.Tech. [email protected]
Chief Researcher, 5 Public Works Research Institute, 1-6 Minamihara, Tsukuba, Ibaraki 300-2621, Japan. Email: [email protected]
Juha Kostamovaara [email protected]
Professor, Faculty of Information Technology and Electrical Engineering, Circuits and Systems Research Unit, Univ. of Oulu, P.O. Box 7300, Oulu FI-90014, Finland. Email: [email protected]
Rauno Heikkilä [email protected]
Professor, Faculty of Technology, Civil Engineering, Univ. of Oulu, P.O. Box 4000, Oulu FI-90014, Finland. Email: [email protected]

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  • Determining Payload on Platform of Lorry in Real Time Using Integrated 3-D Lidar From Excavator Boom, IEEE Transactions on Instrumentation and Measurement, 10.1109/TIM.2024.3350119, 73, (1-7), (2024).
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