Praktikum: Search-Based Test Scenario Generation for Autonomous Driving (IN0012; IN2106, IN4228)
Practical: Search-Based Test Scenario Generation for Autonomous Driving (IN0012; IN2106, IN4228)
Lehrveranstaltung 0000002081 im WS 2017/8
Basisdaten
| LV-Art | Praktikum |
|---|---|
| Umfang | 6 SWS |
| betreuende Organisation | Informatik 4 - Lehrstuhl für Software & Systems Engineering (Prof. Pretschner) |
| Dozent(inn)en |
Florian Hauer Leitung/Koordination: Alexander Pretschner Mitwirkende: Thomas Hutzelmann |
| Termine |
Zuordnung zu Modulen
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IN2106: Master-Praktikum / Advanced Practical Course
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weitere Informationen
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| ergänzende Hinweise | The complexity of modern driver assistance systems increases continuously. This makes testing them more and more difficult. Significant problems are caused by the large input space and complex interactions with the environment. On the one hand, human testers cannot easily identify all relevant test scenarios (they can be non-intuitive), and on the other hand, the number of possible test scenarios is very large, so that they cannot all be used. A possible solution is to generate and select test scenarios algorithmically. In this practical course, we want to implement the approach of search-based test scenario generation for testing advanced driver assistance systems and autonomous systems, using the example of adaptive cruise control and lane keeping assistant (similar to [1] and [2]). Our scientific goal is to confirm the applicability of the approach in the given context. We will use MATLAB, since MATLAB provides according libraries and visualization capabilities, and the industrial simulation software CarMaker from the company IPG Automotive, which is the industrial cooperation partner for this practical course. This practical course offers the opportunity to learn about search-based test generation techniques. Additionally, you can deepen your knowledge about MATLAB (high importance in the fields of scientific computing, machine learning, avionics, and the automotive industry) and CarMaker (industrially used in many fields of automotive engineering). |
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| Links |
E-Learning-Kurs (z. B. Moodle) TUMonline-Eintrag |