
Typologization of models of rolling stock elements in the process of their identification
Author(s) -
J. Moczarski
Publication year - 2019
Publication title -
autobusy
Language(s) - English
Resource type - Journals
eISSN - 2450-7725
pISSN - 1509-5878
DOI - 10.24136/atest.2019.017
Subject(s) - automation , matlab , identification (biology) , computer science , position (finance) , process (computing) , stock (firearms) , laser , simulation , engineering drawing , control engineering , artificial intelligence , engineering , mechanical engineering , optics , botany , physics , finance , economics , biology , operating system
Paper discussed the problem of rolling stock elements identification and recognition of loads. For evaluation of the object shape and position, in the tests are used laser sensors such as mid-range distance sensors, automation light grids and 2D laser measurement sensors. For the creation of digital models of the studied objects and their subsequent identification there was developed a computer application working in Matlab programming environment. Typologization of models of rolling stock elements accelerate calculations and increase the effectiveness of the conducted identification.