CN110084844B - Airport pavement crack detection method based on depth camera - Google Patents
Airport pavement crack detection method based on depth camera Download PDFInfo
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- CN110084844B CN110084844B CN201910338449.1A CN201910338449A CN110084844B CN 110084844 B CN110084844 B CN 110084844B CN 201910338449 A CN201910338449 A CN 201910338449A CN 110084844 B CN110084844 B CN 110084844B
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CN201910338449.1A CN110084844B (en) | 2019-04-25 | 2019-04-25 | Airport pavement crack detection method based on depth camera |
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CN201910338449.1A CN110084844B (en) | 2019-04-25 | 2019-04-25 | Airport pavement crack detection method based on depth camera |
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CN110084844B true CN110084844B (en) | 2023-03-28 |
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Families Citing this family (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112053331B (en) * | 2020-08-28 | 2023-04-07 | 西安电子科技大学 | Bridge crack detection method based on image superposition and crack information fusion |
CN112374081A (en) * | 2020-11-12 | 2021-02-19 | 泉州冰点科技有限公司 | Large-scale conveyer belt surface crack detection method and system |
CN112666167B (en) * | 2020-12-22 | 2022-12-13 | 成都圭目机器人有限公司 | Method and device for evaluating FOD risk generated by cement concrete pavement crack |
CN112726360B (en) * | 2020-12-24 | 2022-03-01 | 中铁建设集团基础设施建设有限公司 | Airport concrete pavement crack repairing method |
CN116664582B (en) * | 2023-08-02 | 2023-10-27 | 四川公路桥梁建设集团有限公司 | Road surface detection method and device based on neural vision network |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102183525A (en) * | 2011-01-20 | 2011-09-14 | 单宝华 | Bridge apparent state automatic detection device and method based on charge coupled device (CCD) array photographic technique |
CN105113375A (en) * | 2015-05-15 | 2015-12-02 | 南京航空航天大学 | Pavement cracking detection system and method based on line structured light |
CN105133471A (en) * | 2015-05-15 | 2015-12-09 | 南京航空航天大学 | Linear structured light pavement surface detection system-based pavement depth image production method |
CA2914020A1 (en) * | 2014-12-10 | 2016-06-10 | Dassault Systemes | Texturing a 3d modeled object |
CN107290346A (en) * | 2017-04-10 | 2017-10-24 | 南京航空航天大学 | Pavement crack detecting system based on two dimensional image and line structure optical sensor |
CN107507170A (en) * | 2017-07-28 | 2017-12-22 | 中国民航大学 | A kind of airfield runway crack detection method based on multi-scale image information fusion |
CN107633516A (en) * | 2017-09-21 | 2018-01-26 | 武汉武大卓越科技有限责任公司 | A kind of method and apparatus for identifying surface deformation class disease |
CN108921076A (en) * | 2018-09-21 | 2018-11-30 | 南京信息工程大学 | Road face crack disease self-adaption constant false-alarm detection method based on image |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
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WO2013090830A1 (en) * | 2011-12-16 | 2013-06-20 | University Of Southern California | Autonomous pavement condition assessment |
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Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102183525A (en) * | 2011-01-20 | 2011-09-14 | 单宝华 | Bridge apparent state automatic detection device and method based on charge coupled device (CCD) array photographic technique |
CA2914020A1 (en) * | 2014-12-10 | 2016-06-10 | Dassault Systemes | Texturing a 3d modeled object |
CN105113375A (en) * | 2015-05-15 | 2015-12-02 | 南京航空航天大学 | Pavement cracking detection system and method based on line structured light |
CN105133471A (en) * | 2015-05-15 | 2015-12-09 | 南京航空航天大学 | Linear structured light pavement surface detection system-based pavement depth image production method |
CN107290346A (en) * | 2017-04-10 | 2017-10-24 | 南京航空航天大学 | Pavement crack detecting system based on two dimensional image and line structure optical sensor |
CN107507170A (en) * | 2017-07-28 | 2017-12-22 | 中国民航大学 | A kind of airfield runway crack detection method based on multi-scale image information fusion |
CN107633516A (en) * | 2017-09-21 | 2018-01-26 | 武汉武大卓越科技有限责任公司 | A kind of method and apparatus for identifying surface deformation class disease |
CN108921076A (en) * | 2018-09-21 | 2018-11-30 | 南京信息工程大学 | Road face crack disease self-adaption constant false-alarm detection method based on image |
Non-Patent Citations (3)
Title |
---|
《基于结构光的路面裂缝检测关键技术研究》;朱春省;《工程科技II辑》;20180330;全文 * |
基于空间聚集特征的沥青路面裂缝检测方法;张德津等;《自动化学报》;20160315(第03期);全文 * |
基于结构光的路面裂缝检测方法研究;宋葵阳等;《机械制造与自动化》;20161220(第06期);全文 * |
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Application publication date: 20190802 Assignee: TIANJIN JIUYUE TECHNOLOGY Co.,Ltd. Assignor: CIVIL AVIATION University OF CHINA Contract record no.: X2024980001620 Denomination of invention: A crack detection method for airport pavement based on depth camera Granted publication date: 20230328 License type: Common License Record date: 20240130 |
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Application publication date: 20190802 Assignee: Zhongke Qingyan (Tianjin) Technology Co.,Ltd. Assignor: CIVIL AVIATION University OF CHINA Contract record no.: X2024980003284 Denomination of invention: A crack detection method for airport pavement based on depth camera Granted publication date: 20230328 License type: Common License Record date: 20240321 |
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Application publication date: 20190802 Assignee: FITOW (TIANJIN) DETECTION TECHNOLOGY CO.,LTD. Assignor: CIVIL AVIATION University OF CHINA Contract record no.: X2024980003591 Denomination of invention: A crack detection method for airport pavement based on depth camera Granted publication date: 20230328 License type: Common License Record date: 20240327 |