Self-driving car engineering

Self driving technologies is a game changer cross industries all over the world

Self-driving car simulation by deep learning 

The goals / steps of this project are the following:

  • Build a convolution neural network in Keras that predicts steering angles from images
  • Train and validate the model with a training and validation set
  • Test that the model successfully drives around track one without leaving the road

The code can been seen here

 https://gist.github.com/TOSHISTATS/bce7ac25bcb1e90202727e546d08eaff  

   

 The simulator is provided by Udacity as open-source-software

 

 

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Car detection and tracking BY deep learning 

The goals / steps of this project are the following:

  • Perform feature extraction by pre-trained model and train a classifier of fully connected layers
  • Implement a sliding-window technique and use trained classifier to search for vehicles in images.
  • Run the pipeline on a video stream and create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles
  • Estimate a bounding box for vehicles detected

 

 

 

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Drones

coming soon

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CARTS

coming soon