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Title:Avtonomna, GPS vodena robotska platforma
Authors:ID Krajnc, Gaj (Author)
ID Sarjaš, Andrej (Mentor) More about this mentor... New window
Files:.pdf VS_Krajnc_Gaj_2024.pdf (4,41 MB)
MD5: 885F0CDF91DD6BBDFEBDBFC844063C6E
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je predstavljena predelava komercialne kosilnice v avtonomno vozilo. Predelavo je bila izvedena s pomočjo mikroračunalnika ter RTK GPS modula, ki omogoča natančno določanje lokacije vozila v realnem času. Avtonomna vožnja se izvaja s pomočjo ROS okolja, ki skrbi za korektno delovanje vseh komponent. V delu željeni cilji glede natančnosti niso bili doseženi, vendar je rezultat kljub temu zadovoljiv.
Keywords:GPS, RTK, ROS okolje, OpenMower, Raspberry Pi4
Place of publishing:Maribor
Publisher:[G. Krajnc]
Year of publishing:2024
PID:20.500.12556/DKUM-90113 New window
UDC:007.52:629.056.8.014.9(043.2)
COBISS.SI-ID:220269059 New window
Publication date in DKUM:19.09.2024
Views:274
Downloads:94
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:22.08.2024

Secondary language

Language:English
Title:Autonomous, GPS controlled robot platform
Abstract:The thesis presents the conversion of a commercial lawnmower into an autonomous vehicle. The conversion was carried out using a microcomputer and an RTK GPS module, which enables precise real-time location tracking of the vehicle. The autonomous driving is executed using the ROS environment, which ensures the correct operation of all components. Although we did not achieve the desired accuracy, the result is still satisfactory.
Keywords:GPS, RTK, ROS operating system, OpenMower, Raspberry pi4


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