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Model Predictive Control for cars in C++

In the 10’th project from the Self-Driving Car engineer program designed by Udacity, we implemented a Model Predictive Control to drive the car around the track. This time however we’re not given the crosstrack error, we had to calculate that ourself. Additionally, there’s a 100 millisecond latency between actuations commands on top of the connection[…]

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Advanced Lane Finding using OpenCV

In this 4’th project from the Self-Driving Car engineer program designed by Udacity, our goal is to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available here repository. The goals / steps of[…]

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Predicting Steering Angles using Deep Learning and Behavioral Cloning

The Self-Driving Car engineer program designed by Udacity is currently the only machine learning program which is focused entirely on autonomous driving. The program offers worldclass traning staff and prominent partners like Nvidia or Mercedes Benz. Besides interesting lessons and exercises the program expects students to prove their deep learning skills in real world projects.[…]