TY - GEN
T1 - A QR code image processing mechanism for book access robot positioning and navigation
AU - Fan, Zeming
AU - Yu, Xiaojun
AU - Du, Junye
AU - He, Yuye
AU - Chen, Gansu
AU - Wen, Yifei
AU - Lu, Lei
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/2/24
Y1 - 2018/2/24
N2 - In The mapping system of current libraries is based mainly on the inertial navigation and binocular visual navigation technology. Due to the limited mapping accuracy, however, such a system cannot meet the high precision navigation, positioning and book information recognition requirements of the library automatic access robots. To improve the robot system locating accuracy, we propose a QR code image processing mechanism for library robot positioning and navigation system based on the visual technology. Specifically, with the binocular cameras that are fixed on robots to quickly establish the three-dimensional coordinates of the QR code, such a mechanism tries to extract the Haar features of the QR code images and identify the target area quickly with the Adaboost algorithm, and then it controls the robot arms with code reader to access the accurate information of the QR codes, and finally the realize accurate book information reading and navigation accuracy improvement functions with an information correction function. Experiments are also conducted to verify the effectiveness of the proposed mechanism.
AB - In The mapping system of current libraries is based mainly on the inertial navigation and binocular visual navigation technology. Due to the limited mapping accuracy, however, such a system cannot meet the high precision navigation, positioning and book information recognition requirements of the library automatic access robots. To improve the robot system locating accuracy, we propose a QR code image processing mechanism for library robot positioning and navigation system based on the visual technology. Specifically, with the binocular cameras that are fixed on robots to quickly establish the three-dimensional coordinates of the QR code, such a mechanism tries to extract the Haar features of the QR code images and identify the target area quickly with the Adaboost algorithm, and then it controls the robot arms with code reader to access the accurate information of the QR codes, and finally the realize accurate book information reading and navigation accuracy improvement functions with an information correction function. Experiments are also conducted to verify the effectiveness of the proposed mechanism.
KW - Image Processing
KW - Navigation
KW - QR Code
KW - Robot Positioning
UR - https://www.scopus.com/pages/publications/85047307182
U2 - 10.1145/3191442.3191460
DO - 10.1145/3191442.3191460
M3 - 会议稿件
AN - SCOPUS:85047307182
T3 - ACM International Conference Proceeding Series
SP - 147
EP - 151
BT - Proceedings of 2018 International Conference on Image and Graphics Processing, ICIGP 2018
PB - Association for Computing Machinery
T2 - 2018 International Conference on Image and Graphics Processing, ICIGP 2018
Y2 - 24 February 2018 through 26 February 2018
ER -