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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Abstract

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:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Bojan Orel	243	Mentor

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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