de | en

Artificial Intelligence in Automotive Engineering
Künstliche Intelligenz in der Fahrzeugtechnik

Course 0000000618 in WS 2019/20

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Chair of Automotive Technology (Prof. Lienkamp)
Lecturers Markus Lienkamp
Dates Thu, 16:15–17:45, Interims II 004

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 aspacets will be related to automotive technology topics. 1. Introduction: What is Intelligence? What is artificial Intelligence? Historic overview, overview Machine Learning topics, self driving cars 2. Perception: Machine Vision, Computer-Vision, Image Processing Feature Extraktion, Color detection, Canny Edge Detection, Hough Lines, Stereovision 3. Supervised Learning - Lineare Regression: Random Sampling & Consensus 4. Supervised Learning - Classification: Decision Trres, Support Vector Machines, k-nearest Neighbours. 5. Unsupervised Learning - Clustering: Decision Trees, k-Means 6. Path Finding: Navigation, Graph Theory, Search Algorithms like A* 7. Introduction to Neuronal Networs: Perceptron, Loss Function, Activation Function 8. Neuronal Networks: Backpropagation, Different Layers 9. Convolutional Neuronal Networks: Paramter, Filter, Visualization, Pooling 10. Recurrent Neuronal Networks 11. Reeinforcemente Learning 13. 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 2018/9 Artificial Intelligence in Automotive Engineering Lienkamp, M. Thu, 16:15–17:45, Interims II 004
Thu, 16:15–17:45, Interims I 101
Top of page