Navigeerimine välistingimustes mudelautoga

dc.contributor.advisorMatiisen, Tambet, juhendaja
dc.contributor.authorKahju, Kennar
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2025-10-20T12:51:14Z
dc.date.available2025-10-20T12:51:14Z
dc.date.issued2025
dc.description.abstractThe development of autonomous vehicles is primarily focused on cars operating on roads. The goal of this bachelor’s thesis was to develop a vehicle to navigate in off-road environments. The Donkey Car S1 platform was used as a base, to which custom-designed and 3D-printed frames were added to mount a GNSS device and a LiDAR sensor. Necessary functionality was developed to the Donkey Car project to enable waypoint-based navigation. To evaluate the self-driving capability, various tests were conducted both on asphalt and in a park environment. Navigation between waypoints was successful, even when the waypoint was behind the car. Both GNSS and LiDAR worked as expected, with the GNSS evaluated to the accuracy of 2 cm and LiDAR achieving a measurement accuracy within 5 cm. However, obstacle avoidance proved to be ineffective and the possible reasons for this were analyzed. It was also found that the frame of the chosen platform was not suitable for off-road driving. This thesis concludes with recommendations for further development and suggestions for avoiding similar issues in future implementations.
dc.identifier.urihttps://hdl.handle.net/10062/116931
dc.language.isoet
dc.publisherTartu Ülikoolet
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectisejuhtimine
dc.subjectautonoomsus
dc.subjectRTK
dc.subjectLiDAR
dc.subjectDonkey Car
dc.subjectself-driving
dc.subjectautonomy
dc.subject.otherbakalaureusetöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticsen
dc.subject.otherinfotechnologyen
dc.titleNavigeerimine välistingimustes mudelautoga
dc.typeThesis

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