Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/635432
Title: SmartScanner: Know More in Walls with Your Smartphone!
Authors: Yongpan Zou;Guanhua Wang;Kaishun Wu;Lionel M. Ni
subject: objects distinguishing|IMU|layout mapping
Year: 2016
Publisher: IEEE
Abstract: Seeing 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.
Description: 
URI: http://localhost/handle/Hannan/183528
http://localhost/handle/Hannan/635432
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

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Title: SmartScanner: Know More in Walls with Your Smartphone!
Authors: Yongpan Zou;Guanhua Wang;Kaishun Wu;Lionel M. Ni
subject: objects distinguishing|IMU|layout mapping
Year: 2016
Publisher: IEEE
Abstract: Seeing 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.
Description: 
URI: http://localhost/handle/Hannan/183528
http://localhost/handle/Hannan/635432
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7355364.pdf1.82 MBAdobe PDFThumbnail
Preview File
Title: SmartScanner: Know More in Walls with Your Smartphone!
Authors: Yongpan Zou;Guanhua Wang;Kaishun Wu;Lionel M. Ni
subject: objects distinguishing|IMU|layout mapping
Year: 2016
Publisher: IEEE
Abstract: Seeing 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.
Description: 
URI: http://localhost/handle/Hannan/183528
http://localhost/handle/Hannan/635432
ISSN: 1536-1233
volume: 15
issue: 11
Appears in Collections:2016

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