Automatic roller path tracking and mapping for pavement compaction using infrared thermography
Compaction is an important task in asphalt pavement construction. It ensures high quality of the pavement to provide required long‐term performance. Intelligent compaction (IC) integrated with global positioning system (GPS) is an innovative technology to help control the compaction quality of aspha...
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Veröffentlicht in: | Computer-aided civil and infrastructure engineering 2021-11, Vol.36 (11), p.1416-1434 |
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creator | Lu, Linjun Dai, Fei Zaniewski, John P. |
description | Compaction is an important task in asphalt pavement construction. It ensures high quality of the pavement to provide required long‐term performance. Intelligent compaction (IC) integrated with global positioning system (GPS) is an innovative technology to help control the compaction quality of asphalt pavement by continuously providing the operator with the roller's current position and the number of rolling passes. However, the high equipment cost and signal disturbance are two identified issues when adopting the GPS for position estimation. This paper proposed a thermal‐based method for real‐time roller path tracking and mapping in pavement compaction operations. In this method, first, the incremental roller motion between each two consecutive frames was jointly estimated via calculation of the roller's heading direction by exploiting the pavement boundary information and the roller's translation using the optical flow technique. Then, the accuracy of the estimated incremental motion was optimized by incorporation of the roller's lateral position estimated by a position optimization model proposed by the authors. Finally, the roller's global location was estimated by chaining frame‐by‐frame roller motions recursively. Both laboratory and field validations were conducted to examine the performance of the proposed method, leading to the maximum mean absolute errors along the lateral direction to be 5.2 mm and 3.3 cm, respectively, and the maximum cumulative error rates along the longitudinal direction to be 0.85% and 0.73%, respectively. The validation results signified the method's potential as a low‐cost and applicable alternative to the GPS in the current IC technology for roller's position tracking and mapping. |
doi_str_mv | 10.1111/mice.12683 |
format | Article |
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It ensures high quality of the pavement to provide required long‐term performance. Intelligent compaction (IC) integrated with global positioning system (GPS) is an innovative technology to help control the compaction quality of asphalt pavement by continuously providing the operator with the roller's current position and the number of rolling passes. However, the high equipment cost and signal disturbance are two identified issues when adopting the GPS for position estimation. This paper proposed a thermal‐based method for real‐time roller path tracking and mapping in pavement compaction operations. In this method, first, the incremental roller motion between each two consecutive frames was jointly estimated via calculation of the roller's heading direction by exploiting the pavement boundary information and the roller's translation using the optical flow technique. Then, the accuracy of the estimated incremental motion was optimized by incorporation of the roller's lateral position estimated by a position optimization model proposed by the authors. Finally, the roller's global location was estimated by chaining frame‐by‐frame roller motions recursively. Both laboratory and field validations were conducted to examine the performance of the proposed method, leading to the maximum mean absolute errors along the lateral direction to be 5.2 mm and 3.3 cm, respectively, and the maximum cumulative error rates along the longitudinal direction to be 0.85% and 0.73%, respectively. The validation results signified the method's potential as a low‐cost and applicable alternative to the GPS in the current IC technology for roller's position tracking and mapping.</description><identifier>ISSN: 1093-9687</identifier><identifier>EISSN: 1467-8667</identifier><identifier>DOI: 10.1111/mice.12683</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Asphalt pavements ; Equipment costs ; Global positioning systems ; GPS ; Infrared imaging ; Infrared tracking ; Mapping ; Optical flow (image analysis) ; Optimization ; Path tracking ; Pavement construction ; Thermography</subject><ispartof>Computer-aided civil and infrastructure engineering, 2021-11, Vol.36 (11), p.1416-1434</ispartof><rights>2021</rights><rights>2021 Computer‐Aided Civil and Infrastructure Engineering</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3013-bbb59a7e2045ee30135bdfb3db72f3175a6e4b4e021c2f112f76c49d29ce91443</citedby><cites>FETCH-LOGICAL-c3013-bbb59a7e2045ee30135bdfb3db72f3175a6e4b4e021c2f112f76c49d29ce91443</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fmice.12683$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fmice.12683$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Lu, Linjun</creatorcontrib><creatorcontrib>Dai, Fei</creatorcontrib><creatorcontrib>Zaniewski, John P.</creatorcontrib><title>Automatic roller path tracking and mapping for pavement compaction using infrared thermography</title><title>Computer-aided civil and infrastructure engineering</title><description>Compaction is an important task in asphalt pavement construction. It ensures high quality of the pavement to provide required long‐term performance. Intelligent compaction (IC) integrated with global positioning system (GPS) is an innovative technology to help control the compaction quality of asphalt pavement by continuously providing the operator with the roller's current position and the number of rolling passes. However, the high equipment cost and signal disturbance are two identified issues when adopting the GPS for position estimation. This paper proposed a thermal‐based method for real‐time roller path tracking and mapping in pavement compaction operations. In this method, first, the incremental roller motion between each two consecutive frames was jointly estimated via calculation of the roller's heading direction by exploiting the pavement boundary information and the roller's translation using the optical flow technique. Then, the accuracy of the estimated incremental motion was optimized by incorporation of the roller's lateral position estimated by a position optimization model proposed by the authors. Finally, the roller's global location was estimated by chaining frame‐by‐frame roller motions recursively. Both laboratory and field validations were conducted to examine the performance of the proposed method, leading to the maximum mean absolute errors along the lateral direction to be 5.2 mm and 3.3 cm, respectively, and the maximum cumulative error rates along the longitudinal direction to be 0.85% and 0.73%, respectively. The validation results signified the method's potential as a low‐cost and applicable alternative to the GPS in the current IC technology for roller's position tracking and mapping.</description><subject>Asphalt pavements</subject><subject>Equipment costs</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Infrared imaging</subject><subject>Infrared tracking</subject><subject>Mapping</subject><subject>Optical flow (image analysis)</subject><subject>Optimization</subject><subject>Path tracking</subject><subject>Pavement construction</subject><subject>Thermography</subject><issn>1093-9687</issn><issn>1467-8667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEmNw4RdE4obUUaffx2kaY9IQF7gSpamzZbRNSVPQ_j0p5Ywvtvw-tuWXkFsIF-DjodESF8DSPDojM4jTLMjTNDv3dVhEQZHm2SW56vtj6COOoxl5Xw7ONMJpSa2pa7S0E-5AnRXyQ7d7KtqKNqLrxlqZUf3CBltHpWk6IZ02LR36UdWtssJiRd0BbWP2VnSH0zW5UKLu8eYvz8nb4_p19RTsXjbb1XIXyCiEKCjLMilEhiyME8SxlZSVKqOqzJiKIEtEinEZY8hAMgXAVJbKuKhYIbEA_8ic3E17O2s-B-wdP5rBtv4kZ0kODMDb4Kn7iZLW9L1FxTurG2FPHEI--sdH__ivfx6GCf7WNZ7-IfnzdrWeZn4Aki1z_A</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Lu, Linjun</creator><creator>Dai, Fei</creator><creator>Zaniewski, John P.</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>202111</creationdate><title>Automatic roller path tracking and mapping for pavement compaction using infrared thermography</title><author>Lu, Linjun ; Dai, Fei ; Zaniewski, John P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3013-bbb59a7e2045ee30135bdfb3db72f3175a6e4b4e021c2f112f76c49d29ce91443</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Asphalt pavements</topic><topic>Equipment costs</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Infrared imaging</topic><topic>Infrared tracking</topic><topic>Mapping</topic><topic>Optical flow (image analysis)</topic><topic>Optimization</topic><topic>Path tracking</topic><topic>Pavement construction</topic><topic>Thermography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lu, Linjun</creatorcontrib><creatorcontrib>Dai, Fei</creatorcontrib><creatorcontrib>Zaniewski, John P.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computer-aided civil and infrastructure engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lu, Linjun</au><au>Dai, Fei</au><au>Zaniewski, John P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic roller path tracking and mapping for pavement compaction using infrared thermography</atitle><jtitle>Computer-aided civil and infrastructure engineering</jtitle><date>2021-11</date><risdate>2021</risdate><volume>36</volume><issue>11</issue><spage>1416</spage><epage>1434</epage><pages>1416-1434</pages><issn>1093-9687</issn><eissn>1467-8667</eissn><abstract>Compaction is an important task in asphalt pavement construction. It ensures high quality of the pavement to provide required long‐term performance. Intelligent compaction (IC) integrated with global positioning system (GPS) is an innovative technology to help control the compaction quality of asphalt pavement by continuously providing the operator with the roller's current position and the number of rolling passes. However, the high equipment cost and signal disturbance are two identified issues when adopting the GPS for position estimation. This paper proposed a thermal‐based method for real‐time roller path tracking and mapping in pavement compaction operations. In this method, first, the incremental roller motion between each two consecutive frames was jointly estimated via calculation of the roller's heading direction by exploiting the pavement boundary information and the roller's translation using the optical flow technique. Then, the accuracy of the estimated incremental motion was optimized by incorporation of the roller's lateral position estimated by a position optimization model proposed by the authors. Finally, the roller's global location was estimated by chaining frame‐by‐frame roller motions recursively. Both laboratory and field validations were conducted to examine the performance of the proposed method, leading to the maximum mean absolute errors along the lateral direction to be 5.2 mm and 3.3 cm, respectively, and the maximum cumulative error rates along the longitudinal direction to be 0.85% and 0.73%, respectively. The validation results signified the method's potential as a low‐cost and applicable alternative to the GPS in the current IC technology for roller's position tracking and mapping.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1111/mice.12683</doi><tpages>19</tpages></addata></record> |
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subjects | Asphalt pavements Equipment costs Global positioning systems GPS Infrared imaging Infrared tracking Mapping Optical flow (image analysis) Optimization Path tracking Pavement construction Thermography |
title | Automatic roller path tracking and mapping for pavement compaction using infrared thermography |
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