Self-Driving Cars Tutorial: Identify Lane Lines with OpenCV & Python

Rayan Slim, Teacher

Play Speed
  • 0.5x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 2x
14 Lessons (1h 27m)
    • 1. Introduction

      0:37
    • 2. Installation - Anaconda

      2:43
    • 3. Installation - Atom

      2:47
    • 4. Computer Vision: Overview

      1:09
    • 5. Loading Images

      4:55
    • 6. Grayscale

      4:31
    • 7. Gaussian Blur

      3:04
    • 8. Canny

      4:21
    • 9. Region of Interest

      7:41
    • 10. Bitwise_and

      9:44
    • 11. Hough Transform

      10:54
    • 12. Hough Transform II

      13:25
    • 13. Optimizing

      14:45
    • 14. Finding Lanes on Video

      6:37

About This Class

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.