A novel breakpoint detection method based on dynamic programming for linear laser scanner

Author(s):  
Xiaoqia Yin ◽  
Wei Tao ◽  
Hui Zhao
2019 ◽  
Vol 118 ◽  
pp. 52-61 ◽  
Author(s):  
Xiao-Qia Yin ◽  
Wei Tao ◽  
Yu Feng ◽  
Hong-Wei Yang ◽  
Qiao-Zhi He ◽  
...  

2021 ◽  
Vol 2083 (4) ◽  
pp. 042045
Author(s):  
Shichuang Zheng ◽  
Jiajun Li ◽  
Shuai Chen ◽  
Yujia Liang ◽  
Jiangtao Lin

Abstract Traditional detection method of data breakpoint in computer communication network has some disadvantages, such as time consuming, etc. Firstly, the data of computer transmission breakpoints are stored based on cloud framework, and the density distribution characteristics of the region are extracted according to the breakpoint data. Then the optimal data breakpoint detection path is selected. Finally, the similarity of each data breakpoint is detected by the computer, so that the detection of data breakpoints is realized by computer. After experiments, the data breakpoint detection is realized, the results show that the designed method can detect data breakpoints accurately, which is time-saving and has a certain significance of popularization.


2015 ◽  
Vol 21 (6) ◽  
Author(s):  
Ago Molder ◽  
Olev Martens ◽  
Tonis Saar ◽  
Raul Land

2015 ◽  
Vol 27 (4) ◽  
pp. 374-381 ◽  
Author(s):  
Kento Hosaka ◽  
◽  
Tetsuo Tomizawa

<div class=""abs_img""> <img src=""[disp_template_path]/JRM/abst-image/00270004/07.jpg"" width=""300"" /> Our proposed method</div> The purpose of this study is to develop a system for detecting target persons using a 3D laser scanner. The system consists of two parts -- one for grouping and one for determining targets. The grouping part effectively segments individual objects by using two-step grouping. The target part determines target persons for grouping results using shape features. Experimental results showed that our proposed system detects targets as well as existing methods do and that our proposed method performs more quickly than existing methods do. </span>


Author(s):  
M. van Stralen ◽  
M.M. Voormolen ◽  
G. van Burken ◽  
B.J. Krenning ◽  
R.J.M. van Geuns ◽  
...  

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