3-D Positioning System Based QR Code and Monocular Vision

Author(s):  
Guanchao Pan ◽  
A. H. Liang ◽  
Jinhui Liu ◽  
Mei Liu ◽  
Everett X. Wang
2014 ◽  
Vol 596 ◽  
pp. 936-943 ◽  
Author(s):  
Shu Dan Lee ◽  
Wen Qin Liu ◽  
Wei Zeng ◽  
Xin Gao ◽  
Cong Song Zhang

Owing to the inefficiency and difficulty in finding out the position of books in library, this paper designed a positioning system, which is based on QR code and can be used to find out where the book is in real-time. In the design, a QR code is an identity of the position. The mobile wireless cameras, which were set on the bookshelves, acquire the image of QR code and then send it to data processing center. The processing center generates a two-dimensional localization image of books after the QR was decoded, then stores the localization image in the database in order that the readers or managerial staves can get the books they need quickly and easily after retrieving. This paper presents the structure of the positioning system from the perspective of software and hardware, and the feasibility of the design has been proved by practice test. This design also has certain reference value to the promotion of the QR code in other management fields.


2020 ◽  
pp. 1-1
Author(s):  
Tao Liu ◽  
Jian Kuang ◽  
Wenfei Ge ◽  
Peng Zhang ◽  
Xiaoji Niu ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yuheng Yan ◽  
Yiqiu Liang ◽  
Zihan Zhou ◽  
Bin Jiang ◽  
Jian Xiao

In recent years, the pose estimation of objects has become a research hotspot. This technique can effectively estimate the pose changes of objects in space and is widely used in many mobile devices, such as AR/VR. At present, mainstream technologies can achieve high-precision pose estimation, but the problem of that of multiple irregular objects in mobile and embedded devices under limited resource conditions is still challenging. In this paper, we propose a FastQR algorithm that can estimate the pose of multiple irregular objects on Renesas by utilizing homography method to solve the transformation matrix of a single QR code and then establish the spatial constraint relationship between multiple QR codes to estimate the posture of irregular objects. Our algorithm obtained a competitive result in simulation and verification on the RZ/A2M development board of Renesas. Moreover, the verification results show that our method can estimate the spatial pose of the multiobject accurately and robustly in distributed embedded devices. The average frame rate calculated on the RZ/A2M can reach 28 fps, which is at least 37 times faster than that of other pose estimation methods.


2015 ◽  
Vol 752-753 ◽  
pp. 1000-1005
Author(s):  
Li Kai Zhu ◽  
Dean Zhao ◽  
Wei Ji ◽  
Yu Chen

In view of the slowing expansion problem for the past harvesting robot’s electric push rod joint.This paper will adopt pneumatic draw stem instead of the original electric putter to improve the rapidity of servo system. Using VFW(Video for Windows) image acquisition system to access to the video buffer without generating the intermediate files,which can ensure high real-time performance. By monocular vision system to realize cylinder tracking control experiments for the fruit center position. Experiments verified the quickness and accuracy of the pneumatic servo positioning system.


Author(s):  
F. Hakimpour ◽  
A. Zare Zardiny

Today by extensive use of intelligent mobile phones, increased size of screens and enriching the mobile phones by Global Positioning System (GPS) technology use of location based services have been considered by public users more than ever.. Based on the position of users, they can receive the desired information from different LBS providers. Any LBS system generally includes five main parts: mobile devices, communication network, positioning system, service provider and data provider. By now many advances have been gained in relation to any of these parts; however the users positioning especially in indoor environments is propounded as an essential and critical issue in LBS. It is well known that GPS performs too poorly inside buildings to provide usable indoor positioning. On the other hand, current indoor positioning technologies such as using RFID or WiFi network need different hardware and software infrastructures. In this paper, we propose a new method to overcome these challenges. This method is using the Quick Response (QR) Code Technology. QR Code is a 2D encrypted barcode with a matrix structure which consists of black modules arranged in a square grid. Scanning and data retrieving process from QR Code is possible by use of different camera-enabled mobile phones only by installing the barcode reader software. This paper reviews the capabilities of QR Code technology and then discusses the advantages of using QR Code in Indoor LBS (ILBS) system in comparison to other technologies. Finally, some prospects of using QR Code are illustrated through implementation of a scenario. The most important advantages of using this new technology in ILBS are easy implementation, spending less expenses, quick data retrieval, possibility of printing the QR Code on different products and no need for complicated hardware and software infrastructures.


2021 ◽  
Author(s):  
Xuedi Hao ◽  
Xueqiang Yang ◽  
Jinglin Zhang ◽  
Yaotian Ding ◽  
Miao Wu

Abstract In view of the intelligent demand of underground roadway support and the precise positioning of underground unmanned fully mechanized face, a method of body positioning measurement of bolting robot based on the principle of monocular vision is proposed. In this paper, a vehicle body positioning model based on image data is established. The data is obtained by camera, and the transformation between image coordinates and world coordinates is completed by coordinate system transformation. The monocular vision positioning system of bolting robot is designed, and the simulation experimental model is built to measure the effective positioning distance of monocular vision positioning system in the simulation experimental conditions. The experimental platform of bolting robot is designed, and the vehicle is measured Real time data of body positioning, analysis of experimental error and demonstration of reliability of the method. In this method, the real-time localization of underground mine is realized by the robot of bolting, and the accuracy and efficiency of localization are improved, which lays the foundation for the localization control of mining face and the automation and unmanned of the robot of bolting.


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