1. Introduction

• Overview of the importance of edge detection and shape recognition in

autonomous vehicle navigation.

• Brief introduction to the hardware involved, focusing on the Raspberry

Pi.

2. Edge Detection Techniques

• Explanation of edge detection.

• Description of common algorithms (e.g., Sobel, Canny).

3. Line Detection

• Discuss the transition from edge detection to line detection.

• Detailed explanation of a line detection algorithm (e.g., Hough

Transform).

4. Code Implementation

• Detailed code walkthrough for line detection using Python and

OpenCV.

• Explanation of each part of the code and its role in the process.

5. Optimization for Raspberry Pi

• Specific considerations for running the code efficiently on a Raspberry

Pi (e.g., resource constraints, optimization techniques).

6. Conclusion

• Summary of findings.

• Discussion of potential improvements and future work.