Advanced lane-finding for ADAS application

*My medium :

*Github repos :

*Youtube :

We will make a line finding algorithm which could be used for ADAS (Advanced Driving Assistance System) applications.

Line detection in this tutorial will cover :

  • Line detection of ego vehicle’s current lane

  • Line detection of ego vehicle’s next lane (next-left side and next-right lane)

  • Confidence level of each detected line

  • Line-type of each detected line

  • Lane-changing signal

  • Curve-fitting by 3-rd polynomial

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Build a Traffic Sign Recognition with Keras/Tensorflow

Intrigued by the question 'What is deep learning ?'. Let's get a gentle deep dive to discover deep-learning by simplified notions with this tutorial . The goals of this project are the following:

-[x] Load the data set

-[x] Explore, summarize and visualize the data set

-[x] Design, train and test with different model architectures (LeNet, GoogLeNet, ResNet34)

-[x] Use the model to make predictions on new images

-[x] Analyze the softmax probabilities of the new images

*Github repos for the codes :

*Medium article :

Pan-Tilt camera

Use OpenCV for Face Detection then pilote a Pi Camera with 2 servos in order to keep the tracked-face always in the center of camera-frame.

This is a very fun project in collaboration with Clément Coste to get start with Raspberry and 3D-printing.

#face_tracking #Raspberry #pan_tilt_camera

*My medium article :

*Github repos for the codes :

*Youtube video :

Line detection with Canny Filter and Hough Transform

*Github repos :

*Youtube :

In this tutorial, we apply technics based on Canny Filter and Hough Transform to detect lines.

Our processing consist of :

- [x] Colour selection

- [x] Gaussian filter with small kernel size to detect even blurred lines in far left/right side

- [x] Canny edge detection

- [x] Zone of interest filtering

- [x] Probabilistic Hough Transform