Evaluation of effectiveness of position/orientation measurement method for indoor AR display guidance

Author(s):  
Akihiro Okuda ◽  
Tokiichiro Takahashi
2018 ◽  
Vol 49 (1) ◽  
pp. 247-250
Author(s):  
Ik Jang Ko ◽  
Hyuna Lee ◽  
Jin Hwan Park ◽  
Gyeong Woo Kim ◽  
Jang Hyuk Kwon

Author(s):  
Shunki KINOSHITA ◽  
Tohru SASAKI ◽  
Takahito NOJIRI ◽  
Toshitaka SAKAI ◽  
Taichi NAKAMURA ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Dian Wu ◽  
Fuzhou Du

In this paper, a novel relative position and orientation (R-P&O) measurement method for large-volume components is proposed. Based on the method, the parallel distances between the cooperative point pairs (CPPs) are collected by multiple pairs of wireless ranging sensors which are installed on respective components and finally turned into the R-P&O. Accordingly, a measurement model is built and an algorithm is designed to solve the model, in which the radial basis function neural network (RBFNN) produces a preliminary solution by offline training and the differential evolution (DE) strategy finds the accurate solution by online heuristic searching. Furthermore, the crucial parameters and the performance of the algorithm are analyzed through simulating a virtual alignment process which proves that the RBFNN-DE algorithm can quickly and accurately find the global optimal solution in the whole effective workspace. Besides the theory study, a ranging device based on ultrasound has been developed along with a calibration method. Depending on the device, an experiment of actual alignment is implemented to verify the algorithm. Experimental results indicate that the error of R-P&O is no more than 4.1 mm and 0.32° when the ranging error is 0.1 mm, compared with the measurement result of indoor GPS (iGPS).


2010 ◽  
Vol 8 (1) ◽  
pp. 55-58 ◽  
Author(s):  
王鹏 Peng Wang ◽  
肖旭 Xu Xiao ◽  
张子淼 Zimiao Zhang ◽  
孙长库 Changku Sun

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