Long-term prediction of surrounding agents’ motion in an urban environment for self-driving vehicles – Bohdan Biesiedin
Bohdan Biesiedin
Master's thesis
Long-term prediction of surrounding agents’ motion in an urban environment for self-driving vehicles
LONG-TERM PREDICTION OF SURROUNDING AGENTS’ MOTION IN AN URBAN ENVIRONMENT FOR SELF-DRIVING VEHICLES
Abstract:
In the scope of this research, an investigation of the area of self-driving vehicles was done. As a result of the investigation a model which implements long-term prediction of surrounding agents motion in urban environment for self-driving vehicle was implemented. The proposed model is capable of capturing and recognizing the surrounding agents, tracking their motion, memorizing the history of their …moreAbstract:
In the scope of this research, an investigation of the area of self-driving vehicles was done. As a result of the investigation a model which implements long-term prediction of surrounding agents motion in urban environment for self-driving vehicle was implemented. The proposed model is capable of capturing and recognizing the surrounding agents, tracking their motion, memorizing the history of their …more
Language used: English
Date on which the thesis was submitted / produced: 3. 11. 2019
Identifier:
https://vskp.vse.cz/eid/81173
Thesis defence
- Date of defence: 13. 1. 2021
- Supervisor: Martin Potančok
- Reader: Filip Vencovský
Citation record
ISO 690-compliant citation record:
BIESIEDIN, Bohdan. \textit{Long-term prediction of surrounding agents’ motion in an urban environment for self-driving vehicles}. Online. Master's thesis. Praha: University of Economics, Prague. 2019. Available from: https://theses.cz/id/0juuxs/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/81173
Vysoká škola ekonomická v Praze
Master programme / field:
Aplikovaná informatika / Information Systems Management
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