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Avtomatiziran merilni sistem za vajo iz stabilnosti vožnje v ovinek
ID Dornik, Primož (Author), ID Ambrož, Miha (Mentor) More about this mentor... This link opens in a new window

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Abstract
Zaključna naloga obravnava razvoj avtomatiziranega merilnega sistema za vajo iz stabilnosti vožnje v ovinek. V uvodnem delu so najprej predstavljene teoretične osnove s področja stabilnosti vozila pri vožnji v ovinek. Temu sledi predstavitev osnov računalniškega vida, in sicer prepoznavanja oblik in barv ter ugotavljanja lege težišča. V začetni fazi razvoja je predstavljen model vozila in merilna oprema. V nadaljevanju je prikazan celotni eksperimentalni del, s katerim smo določili način za zanesljivo sledenje modelu vozila neodvisno od svetlobnih pogojev v prostoru. Zadnji del razvoja zajema korekcijo optičnega popačenja zaradi uporabe širokokotne kamere in prikaz merjenja pospeškov na modelu vozila. Zaključni del zajema primerjavo starega ročnega in novega avtomatiziranega merilnega sistema skupaj z najpomembnejšimi ugotovitvami. Zaključni nalogi so v prilogi dodana navodila za uporabo programa Tracker.

Language:Slovenian
Keywords:stabilnost vožnje v ovinek, Tracker, računalniški vid, sledenje legi težišča, koeficient podkrmiljenja, bočni pospešek
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[P. Dornik]
Year:2018
Number of pages:XXII, 59 str.
PID:20.500.12556/RUL-101723-63af9a0a-19fe-8b5c-5878-6332dde64189 This link opens in a new window
UDC:629.3.026.13:681.5(043.2)
COBISS.SI-ID:16127771 This link opens in a new window
Publication date in RUL:30.06.2018
Views:1664
Downloads:373
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Secondary language

Language:English
Title:Automated measuring system for laboratory exercise driving stability in turns
Abstract:
The final thesis discusses the process of developing automated measuring system for laboratory exercise driving stability in turns. The introduction part presents theoretical basics from the field of stability of the vehicle when driving in turns. Furthermore, the basics of computer vision are presented, namely the identification of shapes and colors and the determination of the location of center of gravity. In the initial stage of development, the model of the vehicle and measuring equipment are presented. The following is a complete experimental part with which we determined the method for reliable tracking of the vehicle model regardless of the lighting conditions in the room. The last part of development involves the correction of optical distortion due to the use of the wide-angle camera and the display of the acceleration measurement on the vehicle model. In the final part, there is comparison of the old manual and new automated measuring system together with the most important findings. The final thesis includes also Tracker user guide in the appendix.

Keywords:driving stability in turns, Tracker, computer vision, center of gravity tracking, coefficient of understeer, lateral acceleration

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