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Assessment of Master Thesis – Academic Consultant

Study programme:Applied Informatics

Field of study:Information Systems Management Academic year:2020/2021

Master Thesis Topic:Long-term prediction of surrounding agents’ motion in an urban environment for self-driving vehicles

Author’s name:Bohdan Biesiedin

Ac. Consultant’s Name:Ing. Martin Potančok, Ph.D.

Opponent:Ing. Filip Vencovský, Ph.D.

Criterion Mark

(1–4)

1. Clarity and comprehensibility of the thesis topic and aims 1

2. The extent and relevance of the description of the current state of knowledge 1

3. The complexity of the thesis topic 1

4. Method adequeteness for solving the given issue, correctness of the choice and use 1

5. The extent, quality and precision of the result description 2

6. Relevance and correctness of the result discussion 2

7. Factual contribution of the thesis result 1

8. Information source relevance and citation correctness 2

9. Logical structure and cohesion among individual parts 2

10. Grammar, linguistic style, terminology and overall arrangement 2

11. Student’s initiative and cooperation with the supervisor 2

12. The use of analytical and data processing methods 1

13. Meeting the principles of ethics and sustainability 2

14. Critical and creative thinking 1

Comments and Questions:

The main aim of this thesis is to design a model for long-term predictions of surrounding agents’ motion in an urban environment for self-driving vehicles. This topic represents a complex area with many

components, which is a bit challenging but exciting and relevant to current research.

The author correctly described the current state-of-the-art (self-driving technology and prediction of surrounding agents’ motion) within the first part. The model considers system and functional requirements gathered during interviews; this is an adequately used approach suitably complementary DSR. The model is prepared at various levels, from conceptual to implementation, and tested using the model from Deo et al.

Validator: similarity score is 16% (iThenticate), including mainly direct quotes and paraphrases. In a few cases, references are included at the end of the paragraph.

Questions and remarks to the defence: 1) Could the author describe the architecture of the analytical environment? 2) What is the business viability of the results?

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Conclusion: The Master Thesis is recommended for the defence.

Suggested Grade: 2

Date: 06/01/2021 Ing. Martin Potančok, Ph.D.

Academic Consultant

Odkazy

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