Details

Sistem za detekcijo in sledenje roja mobilnih milirobotov
ID Živalič, Kristjan (Author), ID Vrabič, Rok (Mentor) More about this mentor... This link opens in a new window

.pdfPDF - Presentation file, Download (2,89 MB)
MD5: 636153505A803EC87AC1F51C48B30267

Abstract
Večrobotski sistemi postajajo vse bolj uporabljena in raziskovana tema za reševanje vsakodnevnih problemov. Za uspešno realizacijo in uporabo robotskega roja je potrebno robote najprej testirati v laboratorijskih okoljih. Izdelali smo program v programskem jeziku Python, ki s pomočjo računalniškega vida na podlagi odprte knjižnice OpenCV omogoča avtomatsko detekcijo in sledenje roja mobilnih milirobotov. Program shranjuje podatke o lokacijah milirobotov in omogoča vizualizacijo njihovega gibanja. Za namene testiranja izdelanega programa smo izdelali tudi robotsko celico, s pomočjo katere smo potrdili, da je program uspešno realiziran.

Language:Slovenian
Keywords:računalniški vid, obdelava slik, detekcijski algoritmi, algoritmi sledenja, OpenCV
Work type:Final paper
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
Place of publishing:Ljubljana
Publisher:[K. Živalič]
Year:2022
Number of pages:XV, 34 f.
PID:20.500.12556/RUL-139129 This link opens in a new window
UDC:004.45+681.5(043.2)
COBISS.SI-ID:121489155 This link opens in a new window
Publication date in RUL:31.08.2022
Views:1061
Downloads:252
Metadata:XML DC-XML DC-RDF
:
ŽIVALIČ, Kristjan, 2022, Sistem za detekcijo in sledenje roja mobilnih milirobotov [online]. Bachelor’s thesis. Ljubljana : K. Živalič. [Accessed 31 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=139129
Copy citation
Share:Bookmark and Share

Secondary language

Language:English
Title:Detection and tracking system for a swarm of millirobots
Abstract:
Multi-robot systems are becoming a widely used and researched field for solving everyday problems. For successful realization and usage of swarm robotic systems, robots need to be tested in a controlled enviroment. We coded a computer vision program in Python that successfully detects and tracks a swarm of mobile milirobots using OpenCV library. The program saves the data of milirobots' location and provides visualization of their movement. For testing purposes we also made a robot cell to help us confirm successful realization of the program.

Keywords:computer vision, image processing, detection algorithms, tracking algorithms, OpenCV

Similar documents

Similar works from RUL:
  1. Outdoor PV system monitoring - input data quality, data imputation and filtering approaches
  2. Bandgap imaging in Cu(In,Ga)Se[sub]2 photovoltaic modules by electroluminescence
  3. ENOOSNI SLEDILNIK POLOŽAJA SONCA Z MIKROKRMILNIKOM MSP430
  4. Študija fotovzbujenih stanj v novih materialih za sončne celice s pulzno elektronsko paramagnetno resonanco
  5. Light management design in ultra-thin chalcopyrite photovoltaic devices by employing optical modelling
Similar works from other Slovenian collections:
  1. Photovoltaic system modelling
  2. Sončna elektrarna
  3. Ekonomska nihanja pri postavitvi sončne elektrarne
  4. Basic systems and modern photovoltaic systems designing
  5. Solar power installation in Radenska d.d. company

Back