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FEKT-MPA-AD1Acad. year: 2024/2025
In the first part of the course, students will learn about the history and current state of autonomous driving in the world. This will be followed by a detailed description of in-vehicle assistant solutions and an analysis of the area of safety in key process automation. Then, sensors for autonomous driving and data processing will be discussed with the aim of building a model of the surrounding environment and a solution for relative and global vehicle localization. In the next part, methods for obstacle recognition, simulation of environmental dynamics, lane recognition, automatic braking and more will be explained and practiced.
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A graduate of the subject will be able to prove:
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