In this lesson, you will learn to detect lane lane lines using computer vision techniques. Self-driving cars, have rapidly become one of the most transformative technologies to emerge. They are continuously driving our society forward, and creating new opportunities in the mobility sector.
Learn & Master Automotive-related Computer Vision techniques in this fun and exciting course with top instructor Rayan Slim. With over 28000 students, Rayan is a highly rated and experienced instructor who has followed a "learn by doing" style to create this amazing course.
You'll go from beginner to Computer Vision competent and your instructor will complete each task with you step by step on screen.
By the end of the course, you will be identify to build a lane-detection algorithm fuelled entirely by Computer Vision.
The technique used in this tutorial is rudimentary in nature, and can only be applied to straight lane lines. There are much more advanced computer vision techniques that can be used for much more advanced lane finding (Some of which will be taught later on).
However in the meantime, one must learn to walk before they can run! For this project, I encourage you to find a video of a road with straight lane lines, and no cars, such as the video that was seen in the last lesson. Your goal is to use the same code we implemented to identify lane lines on your own video.
Good Luck!
