Thesis Details

Odhad 3D pozice vozidel z dopravních kamer

Bachelor's Thesis Student: Pospíšil Ondřej Academic Year: 2019/2020 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Vehicle 3D Pose Estimation form Traffic Cameras
Language
Czech
Abstract

The goal of this bachelor thesis is to create a method for the 3D pose estimation of vehicles from traffic cameras. Existing methods for the car detection and the pose estimation of vehicles are described. Part of the thesis was to build a dataset for the purpose of training and experiments on the proposed car pose estimation method. Proposed method uses a convolutional neural network for regression of the car base in the image. Car pose is then projected into the road plane using homography. Experiments summarize training and the evaluation of the car pose estimation method and accuracy of manual vehicle annotation.

Keywords

car pose estimation, car detection, traffic camera, convolutional neural networks, homography

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
8 July 2020
Reviewer
Herout Adam, prof. Ing., Ph.D.
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
Holík Lukáš, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
POSPÍŠIL, Ondřej. Odhad 3D pozice vozidel z dopravních kamer. Brno, 2020. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-08. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/22923/
BibTeX 
@bachelorsthesis{FITBT22923,
    author = "Ond\v{r}ej Posp\'{i}\v{s}il",
    type = "Bachelor's thesis",
    title = "Odhad 3D pozice vozidel z dopravn\'{i}ch kamer",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22923/"
}

Theses

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