Projects per year
Abstract
This paper studied the applicability of the Roamer-R4DW mobile laser scanning (MLS) system for road rut depth measurement. The MLS system was developed by the Finnish Geospatial Research Institute (FGI), and consists of two mobile laser scanners and a Global Navigation Satellite System (GNSS)-inertial measurement unit (IMU) positioning system. In the study, a fully automatic algorithm was developed to calculate and analyze the rut depths, and verified in 64 reference pavement plots (1.0 m × 3.5 m). We showed that terrestrial laser scanning (TLS) data is an adequate reference for MLS-based rutting studies. The MLS-derived rut depths based on 64 plots resulted in 1.4 mm random error, which can be considered adequate precision for operational rutting depth measurements. Such data, also covering the area outside the pavement, would be ideal for multiple road environment applications since the same data can also be used in applications, from highdefinition maps to autonomous car navigation and digitalization of street environments over time and in space.
Original language | English |
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Article number | 1180 |
Pages (from-to) | 1-20 |
Number of pages | 20 |
Journal | Sensors (Switzerland) |
Volume | 21 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2 Feb 2021 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Laser scanning
- MLS
- Photogrammetry
- Point cloud
- Road maintenance
- Road mapping
- Road rut depth
- TLS
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Dive into the research topics of 'Feasibility of mobile laser scanning towards operational accurate road rut depth measurements'. Together they form a unique fingerprint.Projects
- 3 Finished
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@Quality4Roads: Road Distress Mapping Combining Expertise of Sensors and Point Cloud Processing, Surveying and Road Engineering
Hyyppä, H. (Principal investigator)
01/09/2019 → 31/08/2023
Project: Academy of Finland: Other research funding
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Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing Point Cloud Ecosystem
Hyyppä, H. (Principal investigator)
01/01/2018 → 31/07/2021
Project: Academy of Finland: Strategic research funding
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COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem
Hyyppä, H. (Principal investigator)
01/05/2015 → 31/12/2017
Project: Academy of Finland: Strategic research funding