针对车道线检测，写一个PPT

Slide 1: Introduction
- Introduce the topic of lane detection and its importance in autonomous driving
- Highlight the purpose of the presentation

Slide 2: Overview of Lane Detection
- Explain what lane detection is
- Discuss the different methods used for lane detection such as Hough Transform, Canny Edge Detection, and Deep Learning

Slide 3: Hough Transform
- Explain the Hough Transform method for lane detection
- Discuss the advantages and limitations of this method
- Provide examples of its application

Slide 4: Canny Edge Detection
- Discuss the Canny Edge Detection method for lane detection
- Explain how it works
- Discuss the advantages and limitations of this method
- Provide examples of its application

Slide 5: Deep Learning
- Explain the Deep Learning method for lane detection
- Discuss the advantages and limitations of this method
- Provide examples of its application

Slide 6: Comparison of Methods
- Compare the three methods discussed
- Discuss the advantages and limitations of each method

Slide 7: Challenges and Solutions
- Discuss the challenges faced in lane detection such as weather conditions, occlusions, and varying lighting conditions
- Provide solutions to these challenges

Slide 8: Conclusion
- Summarize the main points of the presentation
- Emphasize the importance of lane detection in autonomous driving
- Provide recommendations for future research in this area

Slide 9: References
- List the sources used in the presentation
- Provide additional resources for further reading