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  4. Teaching Vision‐based Control for Autonomous Driving with Lego Mindstorms EV3, Raspberry Pi and Simulink
 
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Teaching Vision‐based Control for Autonomous Driving with Lego Mindstorms EV3, Raspberry Pi and Simulink

Publikationstyp
Conference Paper
Date Issued
2018-12-17
Sprache
English
Author(s)
Otto, Svenja  orcid-logo
Schmitt, Alexander  orcid-logo
Dücker, Daniel-André 
Seifried, Robert  orcid-logo
Institut
Mechanik und Meerestechnik M-13  
TORE-URI
http://hdl.handle.net/11420/10889
Journal
Proceedings in applied mathematics and mechanics  
Volume
18
Issue
1
Article Number
e201800008
Citation
Proceedings in applied mathematics and mechanics 18 (1): e201800008 (2018)
Contribution to Conference
89th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM 2018)  
Publisher DOI
10.1002/pamm.201800008
Publisher
Wiley-VCH
Lego Mindstorms is a popular platform to teach robotics in schools and colleges. Basic mechanical properties as well as programming concepts can be taught to students of various ages. However, there are limitations, for example the lack of a camera for vision-based control which is fundamental for autonomous applications like self-driving cars. Within the framework of a summer school, we solve this limitation by adding a webcam and a Raspberry Pi to the platform. The class is designed to teach undergraduate students mechanical principles, vision-based control and basic programming concepts in a project-based setting.
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