Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/635432
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dc.contributor.authorYongpan Zouen_US
dc.contributor.authorGuanhua Wangen_US
dc.contributor.authorKaishun Wuen_US
dc.contributor.authorLionel M. Nien_US
dc.date.accessioned2020-05-20T09:56:22Z-
dc.date.available2020-05-20T09:56:22Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1233en_US
dc.identifier.other10.1109/TMC.2015.2508811en_US
dc.identifier.urihttp://localhost/handle/Hannan/183528en_US
dc.identifier.urihttp://localhost/handle/Hannan/635432-
dc.descriptionen_US
dc.description.abstractSeeing through walls and knowing clearly what exist inside just like a superman are not only fantastic wishes for humans, but also of much practical significance. For example, you would like to know whether there are pipes, or rebars inside a wall before drilling into it. Moreover, knowing how pipes are configured in a wall before attempting to fix defects would definitely prevent unnecessary damages. Existing methods that intend to address this issue are either costly due to the use of high-end technology, or restrictive for reasons of some strong assumptions. However, in this paper, we present a novel system, SmartScanner, which is based on off-the-shelf sensors embedded in a smartphone. SmartScanner makes full use of in-built sensors, namely, the accelerometer, gyroscope, and magnetometer to achieve this goal inexpensively and conveniently. Specifically, by combining these sensors, we are able to clearly distinguish certain objects inside a wall and map out the layout of an in-wall pipeline system. We implement SmartScanner on two smartphone platforms, namely iPhone 4 and Xiaomi Mi2S, and conduct extensive experiments to evaluate its performance. Experiments show that SmartScanner can achieve high accuracies in distinguishing objects in various scenarios. Meanwhile, as for layout mapping, 90 percent of length errors are limited to several centimeters for horizontal and vertical pipeline segments, respectively. Also, SmartScanner can achieve centimeter-level position errors of turning points in horizontal and vertical directions in the testbed.en_US
dc.publisherIEEEen_US
dc.relation.haspart7355364.pdfen_US
dc.subjectobjects distinguishing|IMU|layout mappingen_US
dc.titleSmartScanner: Know More in Walls with Your Smartphone!en_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue11en_US
dc.journal.titleIEEE Transactions on Mobile Computingen_US
Appears in Collections:2016

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Full metadata record
DC FieldValueLanguage
dc.contributor.authorYongpan Zouen_US
dc.contributor.authorGuanhua Wangen_US
dc.contributor.authorKaishun Wuen_US
dc.contributor.authorLionel M. Nien_US
dc.date.accessioned2020-05-20T09:56:22Z-
dc.date.available2020-05-20T09:56:22Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1233en_US
dc.identifier.other10.1109/TMC.2015.2508811en_US
dc.identifier.urihttp://localhost/handle/Hannan/183528en_US
dc.identifier.urihttp://localhost/handle/Hannan/635432-
dc.descriptionen_US
dc.description.abstractSeeing through walls and knowing clearly what exist inside just like a superman are not only fantastic wishes for humans, but also of much practical significance. For example, you would like to know whether there are pipes, or rebars inside a wall before drilling into it. Moreover, knowing how pipes are configured in a wall before attempting to fix defects would definitely prevent unnecessary damages. Existing methods that intend to address this issue are either costly due to the use of high-end technology, or restrictive for reasons of some strong assumptions. However, in this paper, we present a novel system, SmartScanner, which is based on off-the-shelf sensors embedded in a smartphone. SmartScanner makes full use of in-built sensors, namely, the accelerometer, gyroscope, and magnetometer to achieve this goal inexpensively and conveniently. Specifically, by combining these sensors, we are able to clearly distinguish certain objects inside a wall and map out the layout of an in-wall pipeline system. We implement SmartScanner on two smartphone platforms, namely iPhone 4 and Xiaomi Mi2S, and conduct extensive experiments to evaluate its performance. Experiments show that SmartScanner can achieve high accuracies in distinguishing objects in various scenarios. Meanwhile, as for layout mapping, 90 percent of length errors are limited to several centimeters for horizontal and vertical pipeline segments, respectively. Also, SmartScanner can achieve centimeter-level position errors of turning points in horizontal and vertical directions in the testbed.en_US
dc.publisherIEEEen_US
dc.relation.haspart7355364.pdfen_US
dc.subjectobjects distinguishing|IMU|layout mappingen_US
dc.titleSmartScanner: Know More in Walls with Your Smartphone!en_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue11en_US
dc.journal.titleIEEE Transactions on Mobile Computingen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7355364.pdf1.82 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorYongpan Zouen_US
dc.contributor.authorGuanhua Wangen_US
dc.contributor.authorKaishun Wuen_US
dc.contributor.authorLionel M. Nien_US
dc.date.accessioned2020-05-20T09:56:22Z-
dc.date.available2020-05-20T09:56:22Z-
dc.date.issued2016en_US
dc.identifier.issn1536-1233en_US
dc.identifier.other10.1109/TMC.2015.2508811en_US
dc.identifier.urihttp://localhost/handle/Hannan/183528en_US
dc.identifier.urihttp://localhost/handle/Hannan/635432-
dc.descriptionen_US
dc.description.abstractSeeing through walls and knowing clearly what exist inside just like a superman are not only fantastic wishes for humans, but also of much practical significance. For example, you would like to know whether there are pipes, or rebars inside a wall before drilling into it. Moreover, knowing how pipes are configured in a wall before attempting to fix defects would definitely prevent unnecessary damages. Existing methods that intend to address this issue are either costly due to the use of high-end technology, or restrictive for reasons of some strong assumptions. However, in this paper, we present a novel system, SmartScanner, which is based on off-the-shelf sensors embedded in a smartphone. SmartScanner makes full use of in-built sensors, namely, the accelerometer, gyroscope, and magnetometer to achieve this goal inexpensively and conveniently. Specifically, by combining these sensors, we are able to clearly distinguish certain objects inside a wall and map out the layout of an in-wall pipeline system. We implement SmartScanner on two smartphone platforms, namely iPhone 4 and Xiaomi Mi2S, and conduct extensive experiments to evaluate its performance. Experiments show that SmartScanner can achieve high accuracies in distinguishing objects in various scenarios. Meanwhile, as for layout mapping, 90 percent of length errors are limited to several centimeters for horizontal and vertical pipeline segments, respectively. Also, SmartScanner can achieve centimeter-level position errors of turning points in horizontal and vertical directions in the testbed.en_US
dc.publisherIEEEen_US
dc.relation.haspart7355364.pdfen_US
dc.subjectobjects distinguishing|IMU|layout mappingen_US
dc.titleSmartScanner: Know More in Walls with Your Smartphone!en_US
dc.typeArticleen_US
dc.journal.volume15en_US
dc.journal.issue11en_US
dc.journal.titleIEEE Transactions on Mobile Computingen_US
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7355364.pdf1.82 MBAdobe PDFThumbnail
Preview File