Subject Datasheet

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Budapest University of Technology and Economics
Faculty of Transportation Engineering and Vehicle Engineering
1. Subject name Intelligent and autonomous vehicle control system
2. Subject name in Hungarian Intelligens és autonóm járműirányítási rendszerek
3. Code BMEKOKAD019 4. Evaluation type exam grade 5. Credits 4
6. Weekly contact hours 2 (0) Lecture 0 (0) Practice 0 (0) Lab
7. Curriculum
PhD Programme
8. Role
Basic course
9. Working hours for fulfilling the requirements of the subject 120
Contact hours 28 Preparation for seminars 30 Homework 10
Reading written materials 10 Midterm preparation 0 Exam preparation 42
10. Department Department of Control for Transportation and Vehicle Systems
11. Responsible lecturer Dr. Németh Balázs
12. Lecturers Dr. Németh Balázs
13. Prerequisites  
14. Description of lectures
Hierechy in the vehicle control systems. Robust, LPV and MPC vehicle control design methods. Predictive cruise control systems. Interactions of autonomous and human-driven vehicles. Autonomous vehicle control in various traffic scenarios. Machine learning techniques and autonomous vehicles.
15. Description of practices
16. Description of labortory practices
17. Learning outcomes
A. Knowledge   B. Skills   C. Attitudes   D. Autonomy and Responsibility
18. Requirements, way to determine a grade (obtain a signature)
Final exam and homework.
19. Opportunity for repeat/retake and delayed completion
20. Learning materials
Effective date 27 November 2019 This Subject Datasheet is valid for Inactive courses