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FEKT-MPA-AD2Acad. year: 2023/2024
In this more advanced course, students will learn about the history and current state of autonomous driving around the world and possible concepts for the future. This will be followed by a description of advanced in-vehicle assistant solutions and an analysis of the area of safety in key process automation. Sensors for autonomous driving and data processing will then be discussed with the aim of building a model of the surrounding environment and solutions for relative and global vehicle localization and relative and global mapping, including environmental dynamics problems. In the next section, methods for live obstacle recognition and classification, simulation of environmental dynamics, lane recognition, automatic braking, etc. will be explained and practiced.
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A graduate of the subject will be able to prove:
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