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Using QR Code for Indoor Positioning.

California State University, Fullerton.

Using QR Code for Indoor Positioning.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Using QR Code for Indoor Positioning./
作者:	Li, Zheqi.
面頁冊數:	1 online resource (62 pages)
附註:	Source: Masters Abstracts International, Volume: 56-05.
Contained By:	Masters Abstracts International56-05(E).
標題:	Robotics. -
電子資源:	click for full text (PQDT)
ISBN:	9780355163889

Using QR Code for Indoor Positioning.
Li, Zheqi.

Using QR Code for Indoor Positioning. - 1 online resource (62 pages)

Source: Masters Abstracts International, Volume: 56-05.

Thesis (M.S.)--California State University, Fullerton, 2017.

Includes bibliographical references

This paper explored the feasibility and accuracy of using the Kinect sensor to assist robots or unmanned vehicles to navigate in indoor environments using the QR codes attached on the wall. During the experiment, the high definition RGB camera of the Kinect was firstly used to capture the images of the QR codes attached on the wall and the depth sensor was used to measure the distance between the Kinect camera and the QR codes. After that, we used the Open Source Computer Vision (OpenCV) library to scan the image taken by the camera to find out the QR codes within the image and highlight them on the screen. When the scanning was done, the ZBar open-source barcode reading library was applied to decode the QR codes to obtain the coordinate information. At last, we used the raw data to calculate the exact position of the Kinect camera within the coordinate system by solving the GPS equations using the Newton-Raphson method. Therefore the algorithm was tested on the Kinect Sensor. In this paper, the results from testing the Kinect sensor to locate the Kinect camera in indoor environment were given.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355163889Subjects--Topical Terms:

561941
Robotics.
Index Terms--Genre/Form:

554714
Electronic books.

Using QR Code for Indoor Positioning.
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005 20181129115238.5
006 m o u
007 cr mn||||a|a||
008 190606s2017 xx obm 000 0 eng d
020 $a 9780355163889
035 $a (MiAaPQ)AAI10268000
035 $a (MiAaPQ)fullerton:10287
035 $a AAI10268000
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Li, Zheqi. $3 1194170
245 1 0 $a Using QR Code for Indoor Positioning.
264 0 $c 2017
300 $a 1 online resource (62 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Advisers: David Cheng; Jidong Huang.
502 $a Thesis (M.S.)--California State University, Fullerton, 2017.
504 $a Includes bibliographical references
520 $a This paper explored the feasibility and accuracy of using the Kinect sensor to assist robots or unmanned vehicles to navigate in indoor environments using the QR codes attached on the wall. During the experiment, the high definition RGB camera of the Kinect was firstly used to capture the images of the QR codes attached on the wall and the depth sensor was used to measure the distance between the Kinect camera and the QR codes. After that, we used the Open Source Computer Vision (OpenCV) library to scan the image taken by the camera to find out the QR codes within the image and highlight them on the screen. When the scanning was done, the ZBar open-source barcode reading library was applied to decode the QR codes to obtain the coordinate information. At last, we used the raw data to calculate the exact position of the Kinect camera within the coordinate system by solving the GPS equations using the Newton-Raphson method. Therefore the algorithm was tested on the Kinect Sensor. In this paper, the results from testing the Kinect sensor to locate the Kinect camera in indoor environment were given.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Robotics. $3 561941
650 4 $a Engineering. $3 561152
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0771
690 $a 0537
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a California State University, Fullerton. $b Electrical Engineering. $3 1194171
773 0 $t Masters Abstracts International $g 56-05(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10268000 $z click for full text (PQDT)

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