{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:31:13Z","timestamp":1787164273047,"version":"3.56.0"},"reference-count":80,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2022,4,29]],"date-time":"2022-04-29T00:00:00Z","timestamp":1651190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 IROADS 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 \u201cGood\u201d\/\u201cPreventive Maintenance\u201d, \u201cFair\u201d\/\u201cRehabilitation\u201d, \u201cPoor\u201d\/\u201cReconstruction\u201d, which are ranges of the custom PCI ranting scale and represents a typical repair strategy.<\/jats:p>","DOI":"10.3390\/s22093414","type":"journal-article","created":{"date-parts":[[2022,5,2]],"date-time":"2022-05-02T07:08:58Z","timestamp":1651475338000},"page":"3414","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["ROADS\u2014Rover for Bituminous Pavement Distress Survey: An Unmanned Ground Vehicle (UGV) Prototype for Pavement Distress Evaluation"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5665-5917","authenticated-orcid":false,"given":"Alessandro","family":"Mei","sequence":"first","affiliation":[{"name":"Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emiliano","family":"Zampetti","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8814-8605","authenticated-orcid":false,"given":"Paola","family":"Di Mascio","sequence":"additional","affiliation":[{"name":"Department of Civil, Constructional and Environmental Engineeering, Sapienza University of Rome, 00184 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuliano","family":"Fontinovo","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Paolo","family":"Papa","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Pollution Research, National Research Council of Italy, 00015 Monterotondo, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8737-0220","authenticated-orcid":false,"given":"Antonio","family":"D\u2019Andrea","sequence":"additional","affiliation":[{"name":"Department of Civil, Constructional and Environmental Engineeering, Sapienza University of Rome, 00184 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s12544-015-0156-6","article-title":"Review of remote sensing methodologies for pavement management and assessment","volume":"7","author":"Schnebele","year":"2015","journal-title":"Eur. 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