Thesis Details

Předpovídání trajektorie vozidel a chodců pro asistenční systémy řízení

Bachelor's Thesis Student: Mudroň Marek Academic Year: 2021/2022 Supervisor: Smrž Pavel, doc. RNDr., Ph.D.
English title
Predicting Trajectories of Vehicles and Pedestrians for Driving Assistent Systems
Language
Czech
Abstract

This bachelor thesis deals with representation of a traffic scene by processing monocular video sequence. I try to predict a trajectory of detected vehicles in a short time horizon, based on created representation. Current approaches use multiple expensive sensors to gather instant information of environment. In the thesis I introduce technique, which is able to extract data from an environment by image processing techniques without the need of expensive sensors.  The result of this work is a system creating opportunity to reduce the sensor costs of a system for scene representation and  trajectory prediction of vehicles in the scene. In addition, comparison of models trained on differently processed data is provided, as well as data about how my system approximates the most reliable prediction models.

Keywords

trajectory prediction, autonomous systems, path estimation, object detecion, image processing, raster representation, 3D detection, object tracking, localization, semantic segmentation, monocular video

Department
Degree Programme
Files
Status
defended, grade A
Date
16 June 2022
Reviewer
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Burgetová Ivana, Ing., Ph.D. (DIFS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
MUDROŇ, Marek. Předpovídání trajektorie vozidel a chodců pro asistenční systémy řízení. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-16. Supervised by Smrž Pavel. Available from: https://www.fit.vut.cz/study/thesis/22448/
BibTeX
@bachelorsthesis{FITBT22448,
    author = "Marek Mudro\v{n}",
    type = "Bachelor's thesis",
    title = "P\v{r}edpov\'{i}d\'{a}n\'{i} trajektorie vozidel a chodc\r{u} pro asisten\v{c}n\'{i} syst\'{e}my \v{r}\'{i}zen\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22448/"
}
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