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Autonomous Competitive Driving on a Race Track Model

Peter Fajdiga (2016) Autonomous Competitive Driving on a Race Track Model. EngD thesis.

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    This thesis presents the problem of finding the optimal racing line, which enables completing a lap on a given race track in the shortest time possible, and a simulation of a car following the line. It explains the relevant physical basics and the effect vehicle properties have on the optimal racing line and lap time. A method of estimating the duration of each individual path is presented, along with two optimization methods for minimizing the calculated value: a simple linear algorithm and a genetic algorithm. Lastly, we implement a program that guides a simulated vehicle on the racing line using Unreal Engine 4.

    Item Type: Thesis (EngD thesis)
    Keywords: autonomous driving, race track, racing line, optimization
    Number of Pages: 47
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Bojan Orel243Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537221315)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3600
    Date Deposited: 15 Sep 2016 10:08
    Last Modified: 19 Oct 2016 13:26
    URI: http://eprints.fri.uni-lj.si/id/eprint/3600

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