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Artificial Intelligence in Automotive Engineering

Course 0000001661 in SS 2023

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Automotive Technology (Prof. Lienkamp)
Lecturers Markus Lienkamp
Responsible/Coordination: Frank Diermeyer
Dates Wed, 15:00–16:00, virtuell

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks The lecture covers all relevant aspects in the field of "Artificial Intelligence" with a special focus on "Machine Learning" and "Deep Learning" techniques. In addition, all theoretical aspects will be related to automotive technology topics. 1. Introduction: What is Intelligence? What is Artificial Intelligence? Historical overview, overview Machine Learning topics, self-driving cars 2. Perception: Machine Vision, Computer-Vision, Image Processing Feature Extraction, Color detection, Canny Edge Detection, Hough Lines, Stereovision 3. Supervised Learning - Linear Regression: Random Sampling & Consensus 4. Supervised Learning - Classification: Decision Trees, Support Vector Machines, k-nearest Neighbours. 5. Unsupervised Learning - Clustering: Decision Trees, k-Means 6. Introduction to Neuronal Networks: Perceptron, Loss Function, Activation Function 7. Neuronal Networks: Backpropagation, Different Layers 8. Convolutional Neuronal Networks: Parameter, Filter, Visualization, Pooling 9. Knowledge Graphs and Graph Neural Networks 10. Recurrent Neuronal Networks 11. Reinforcement Learning 12. AI-Development: Hyperparameter Tuning, Training on CPU and GPU, Inference
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
WS 2024/5 Artificial Intelligence in Automotive Engineering Lienkamp, M.
Responsible/Coordination: Diermeyer, F.
Thu, 16:15–17:45, Interims II 004
SS 2024 Artificial Intelligence in Automotive Engineering Lienkamp, M.
Responsible/Coordination: Diermeyer, F.
Thu, 17:00–18:00, virtuell
WS 2023/4 Artificial Intelligence in Automotive Engineering Lienkamp, M.
Responsible/Coordination: Diermeyer, F.
Thu, 16:15–17:45, Interims II 004
and singular or moved dates
WS 2022/3 Artificial Intelligence in Automotive Engineering Lienkamp, M.
Responsible/Coordination: Diermeyer, F.
Thu, 16:15–17:45, Interims II 004
SS 2022 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:00–17:00, virtuell
WS 2021/2 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:15–17:45, Interims II 004
SS 2021 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:00–17:00, virtuell
WS 2020/1 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:00–17:00, virtuell
SS 2020 Artificial Intelligence in Automotive Engineering Lienkamp, M.
WS 2019/20 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:15–17:45, Interims II 004
WS 2018/9 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:15–17:45, Interims I 101
Thu, 16:15–17:45, Interims II 004
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