Thesis Details

Rozpoznání hranic jízdního pruhu v záběrech palubní kamery

Bachelor's Thesis Student: Letovanec Lukáš Academic Year: 2018/2019 Supervisor: Herout Adam, prof. Ing., Ph.D.

English title

Recognition of Driving Lane Borders in Video from On Board Camera

Language

Czech

Abstract

This thesis is dedicated to the issue of driving lane borders recognition in frames of an onboard camera. In this thesis, an architecture of a deep convolutional neural network is introduced, by means of which the said problem is dealt with. The net was trained on a large dataset using gradient descent algorithm. The trained model has demonstrated the ability to recognize borders of a driving lane well in different situations and conditions. The result of the thesis confirms that deep convolutional neural networks are a suitable tool for driving lane borders recognition.

Keywords

deep convolutional neural networks, gradient descent, driving lane borders recognition, supervised learning, computer vision

Department

Department of Computer Graphics and Multimedia FIT BUT

Degree Programme

Information Technology

Files

Status

defended, grade E

Date

11 June 2019

Reviewer

Bartl Vojtěch, Ing.

Committee

Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Křivka Zbyněk, Ing., Ph.D. (DIFS FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen

Citation

LETOVANEC, Lukáš. Rozpoznání hranic jízdního pruhu v záběrech palubní kamery. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-11. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/22077/

BibTeX

@bachelorsthesis{FITBT22077,
    author = "Luk\'{a}\v{s} Letovanec",
    type = "Bachelor's thesis",
    title = "Rozpozn\'{a}n\'{i} hranic j\'{i}zdn\'{i}ho pruhu v z\'{a}b\v{e}rech palubn\'{i} kamery",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22077/"
}

Theses