Mastery of advanced architectures, algorithms, and paradigms in autonomous driving.Understanding complex sensor fusion methodologies for precise environmental perception.Training for the development of innovative motion planning and control strategies.Critical analysis of safety-critical validation frameworks and ethical decision-making.Promotion of original scientific research in connected and automated vehicles (CAVs).

Design novel deep learning architectures for real-time 3D object detection.Develop robust sensor fusion algorithms combining LiDAR, radar, and camera data.Formulate advanced trajectory planning optimization models under dynamic constraints.Evaluate the resilience of control systems against adversarial cyber-physical attacks.Propose innovative hardware-in-the-loop (HIL) and AI-in-the-loop testing methodology for validation.Publish original research addressing scalability or safety in high-level autonomy.

Autonomous driving - legal, social, and technological challenges. Autonomous driving and new concept of mobility. Interaction between human and autonomous agents. Communication between autonomous vehicles and other traffic participants. Autonomous vehicles and road traffic safety. Autonomous vehicles - development of computer vision models and vehicle control. Safety of autonomous vehicles.

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There is no pre-condition.

D. Aleksendrić, Intelligent vehicles engineering, (book in preparation), Faculty of Mechanical Engineering University of Belgrade, 2026. (In Serbian).

Total assigned hours: 65

New material: 40
Elaboration and examples (recapitulation): 10

Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 0

Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 10
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 5

Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 70
Project: 0
Final exam: 30
Requirement for taking the exam (required number of points): 0

G. Dimitrakopoulos, A. Tsakanikas, E. Panagiotopoulos, Autonomous Vehicles, Elsevier, 2021. ISBN: 9780323901376; D. Aleksendrić, P. Carlone, Soft computing in the Design and Manufacturing of Composite Materials, Elsevier, 2015. ISBN 978-1-78242-179-5; Д. Алексендрић, З. Миљковић. Artificial neural networks-colection of solved tasks with theory, Faculty of Mechanical Engineering University of Belgrade, 2009. ISBN 978-86-7083-961-8 (In Serbian). ; M. Maurer, J.C Gerdes, B. Lopez H. Winner. Autonomous driving – Technical legal and Social Aspects, Springer, 2016. ISBN 978-3-662-48845-4