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Navigation of field robot

Martin Turk (2018) Navigation of field robot. EngD thesis.

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    Advanced robot systems have already substituted the human factor in many fields of work and we can only imagine what the future will bring. In order for a robot to be intelligent, to perform better at executing tasks than human, they need to be autonomous. We developed a robot for Field Robot Event competition, where it needs to be able to autonomously navigate through a corn field. In this thesis, we developed a robot application which is respon- sible for autonomous navigation with LIDAR sensor and proposed how to improve the navigation with camera recognition. The data collected with LIDAR usually contains a lot of noise, which we reduce with DBSCAN clus- tering algorithm. In conclusion, we present the results from the competition, DBSCAN algorithm, and camera recognition. We also propose a few im- provements and future plans.

    Item Type: Thesis (EngD thesis)
    Keywords: autonomous navigation, robot, LIDAR, DBSCAN, Robot Op- eration System, CNN
    Number of Pages: 54
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    izr. prof. dr. Danijel Skočaj296Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537953731)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4179
    Date Deposited: 05 Sep 2018 13:29
    Last Modified: 04 Oct 2018 13:51
    URI: http://eprints.fri.uni-lj.si/id/eprint/4179

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