ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation
Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and intervent...
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| Format: | Article |
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MDPI AG
2022-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/9/3414 |
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| author | Alessandro Mei Emiliano Zampetti Paola Di Mascio Giuliano Fontinovo Paolo Papa Antonio D’Andrea |
| author_facet | Alessandro Mei Emiliano Zampetti Paola Di Mascio Giuliano Fontinovo Paolo Papa Antonio D’Andrea |
| author_sort | Alessandro Mei |
| collection | DOAJ |
| description | Maintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and interventions should be provided for specific management plans. This paper focuses on the setting of an Unmanned Ground Vehicle (UGV) for road pavement distress monitoring, and the Rover for bituminOus pAvement Distress Survey (ROADS) prototype is presented in this paper. ROADS has a multisensory platform fixed on it that is able to collect different parameters. Navigation and environment sensors support a two-image acquisition system which is composed of a high-resolution digital camera and a multispectral imaging sensor. The Pavement Condition Index (PCI) and the Image Distress Quantity (IDQ) are, respectively, calculated by field activities and image computation. The model used to calculate the I<sub>ROADS</sub> index from PCI had an accuracy of 74.2%. Such results show that the retrieval of PCI from image-based approach is achievable and values can be categorized as “Good”/“Preventive Maintenance”, “Fair”/“Rehabilitation”, “Poor”/“Reconstruction”, which are ranges of the custom PCI ranting scale and represents a typical repair strategy. |
| first_indexed | 2024-03-10T03:40:57Z |
| format | Article |
| id | doaj.art-5b33b0e9b21e46a09b2a687f913b15f5 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:40:57Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-5b33b0e9b21e46a09b2a687f913b15f52023-11-23T09:18:12ZengMDPI AGSensors1424-82202022-04-01229341410.3390/s22093414ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress EvaluationAlessandro Mei0Emiliano Zampetti1Paola Di Mascio2Giuliano Fontinovo3Paolo Papa4Antonio D’Andrea5Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, ItalyInstitute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, ItalyDepartment of Civil, Constructional and Environmental Engineeering, Sapienza University of Rome, 00184 Rome, ItalyInstitute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, ItalyInstitute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, ItalyDepartment of Civil, Constructional and Environmental Engineeering, Sapienza University of Rome, 00184 Rome, ItalyMaintenance has a major impact on the financial plan of road managers. To ameliorate road conditions and reduce safety constraints, distress evaluation methods should be efficient and should avoid being time consuming. That is why road cadastral catalogs should be updated periodically, and interventions should be provided for specific management plans. This paper focuses on the setting of an Unmanned Ground Vehicle (UGV) for road pavement distress monitoring, and the Rover for bituminOus pAvement Distress Survey (ROADS) prototype is presented in this paper. ROADS has a multisensory platform fixed on it that is able to collect different parameters. Navigation and environment sensors support a two-image acquisition system which is composed of a high-resolution digital camera and a multispectral imaging sensor. The Pavement Condition Index (PCI) and the Image Distress Quantity (IDQ) are, respectively, calculated by field activities and image computation. The model used to calculate the I<sub>ROADS</sub> index from PCI had an accuracy of 74.2%. Such results show that the retrieval of PCI from image-based approach is achievable and values can be categorized as “Good”/“Preventive Maintenance”, “Fair”/“Rehabilitation”, “Poor”/“Reconstruction”, which are ranges of the custom PCI ranting scale and represents a typical repair strategy.https://www.mdpi.com/1424-8220/22/9/3414unmanned ground vehicleimagingroad distresspavement condition indexmultispectralimage distress quantity |
| spellingShingle | Alessandro Mei Emiliano Zampetti Paola Di Mascio Giuliano Fontinovo Paolo Papa Antonio D’Andrea ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation Sensors unmanned ground vehicle imaging road distress pavement condition index multispectral image distress quantity |
| title | ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation |
| title_full | ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation |
| title_fullStr | ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation |
| title_full_unstemmed | ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation |
| title_short | ROADS—Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation |
| title_sort | roads rover for bituminous pavement distress survey an unmanned ground vehicle ugv prototype for pavement distress evaluation |
| topic | unmanned ground vehicle imaging road distress pavement condition index multispectral image distress quantity |
| url | https://www.mdpi.com/1424-8220/22/9/3414 |
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