Create a computer vision system using decision tree algorithms to solve a real-world problem : What are the challenges o

The video tutorial covers color extraction techniques in image processing, focusing on challenges in lane detection for self-driving cars. It highlights the limitations of relying solely on color and suggests advanced feature extraction methods like edge detection. The use of LIDAR for creating 3D maps in varying weather conditions is discussed, emphasizing the need for sophisticated algorithms. The tutorial concludes with a focus on camera-based feature extraction and hints at future directions in the field.

What strategies can be employed to overcome the limitations of color detection in adverse weather conditions?

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Discuss the importance of collecting data during different weather conditions for improving self-driving car navigation.

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