Thesis Details

Rozpoznání hranic jízdního pruhu v záběrech palubní kamery

Bachelor's Thesis Student: Fridrich David Academic Year: 2021/2022 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Recognition of Driving Lane Borders in Video from On-Board Camera
Language
Czech
Abstract

This paper talks about lane detection. Specifically custom generator of synthetic images, usage during training of neural networks, testing on convolutional neural network (CNN) UNet model and possibilities of extension of this model to SALMnet (Structure-Aware Lane Marking Detection Network) via addding SGCA module (semantic-guided channel attention) and PDC module (pyramid deformable convolution). Training results from synthetic datasets show very accurate results, reaching around 95\,\% in accuracy (even 99\,\% for easier images). Trainings with real datasets show lower accuracy, depending on the difficulty of the dataset itself. TuSimple has easier and clearer images and reaches about 62\,\%. CuLane is much more complex and results show accuracy around 37\,\%.

Keywords

generator, computer learning, lane detection, neural network, synthetic dataset, UNet

Department
Degree Programme
Files
Status
not defended
Date
14 June 2022
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
FRIDRICH, David. Rozpoznání hranic jízdního pruhu v záběrech palubní kamery. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/24520/
BibTeX
@bachelorsthesis{FITBT24520,
    author = "David Fridrich",
    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 = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/24520/"
}
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