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### Autonomous Self-Driving Vehicles - Design of a Professional Laboratory Exercises Course in the Field of Automotive Mechatronics

#### Table of contents 

- 1 Introduction and Motivation
    - 1.1 Definition of Objectives and Goals
    - 1.2 Delimitation
    - 1.3 Structure of this Work
- 2 Autonomous Self-Driving Vehicles, Basics and History
    - 2.1 Autonomous Self-Driving
    - 2.2 Classification of Autonomous Self-Driving
    - 2.3 Computer Vision
    - 2.4 Artificial Intelligence
    - 2.5 Artificial Intelligence and Computer Vision Tradeoffs 
    - 2.6 Algorithms for Autonomous Self-Driving Vehicles
    - 2.7 Color Spaces
    - 2.8 Canny Edge Detector
    - 2.9 Hough Transformation
    - 2.10 Electronical Components
- 3 Educational Concept
     - 3.1 General Conditions
     - 3.2 Participation Requirements
     - 3.3 Cource Objectives
     - 3.4 Course Contents 
     - 3.4 Content Structuring
- 4 Exercises
    - 4.1 Exercise I - Kit-Construction and -Modification
    - 4.2 Exercise II - Raspberry Pi Setup
    - 4.3 Exercise III - Setup Remote Control
    - 4.4 Exercise IV - Autonomous Lane Navigation Part 1/4 (Color Spaces and Masking)
    - 4.5 Exercise V - Autonomous Lane Navigation Part 2/4 (Canny Edge Detection)
    - 4.6 Exercise VI - Autonomous Lane Navigation Part 3/4 (Hough Transformation)
    - 4.7 Exercise VII - Autonomous Lane Navigation Part 4/4 (Steering and Stabilization)
- 5 Sample Solutions
    - 5.1 Exercise I
    - 5.2 Exercise II
    - 5.3 Exercise III
    - 5.4 Exercise IV
    - 5.5 Exercise V
    - 5.6 Exercise VI
    - 5.7 Exercise VII
- 6 Evaluation
    - Methods for Checking the Educational Success
    - Evaluation Results
- 7 Summary and Outlook
- Bibliography 
- Appendix