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While I am working mainly in the domain of software engineering for automotive software, I try to keep up with general development in IT to see which technologies can be relevant for the toolchains and...

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Using AspectJ to analyze exceptions in production systems

For several automotive customers, we are building (Eclipse-based) systems that process engineering data – not only interactively, but in nightly jobs. From time to time, there might be a problem in...

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Ramping Up for the Udacity Self-Driving Car Nanodegree

I was having great fun with the first exercise / graded project of Udacity’s Self-Driving Car Nanodegree (https://de.udacity.com/drive/). The first exercise is the implementation of a (simple) lane...

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Octave cheat sheet for Coursera Machine Learning course

Switching from / to Octave when working with the Coursera machine learning course can be a bit of a hassle, since some of the Octave syntax is special. Here is my own cheat sheet to remember the most...

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Setting up Tensorflow w/ GPU for the SDCND on Windows with Nvidia GPU

The Udacity Self-Driving-Car Nano Degree’s second project is an implementation of a traffic sign classifier with Tensorflow. Installation can be a bit confusing, because you could use your PC, an AWS...

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Udacity Self Driving Car Nano-Degree – is it worth the money?

The Udacity Self Driving Car Nano-Degree currently has a lot of visibility both within the automotive industry as well as with software developers who are interested to move into the industry. Udacity...

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An Integrated Development Environment for the SDCND

The self-driving car nanodegree from Udacity includes a number of different projects in Python and C++ in different environments (local PC, AWS if you don’t have an GPU). A common discussion topic on...

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Using Eclipse CDT for the Udacity Self Driving Cars Nanodegree C++ projects

There are a number of C/C++ IDEs that can be used for working on the Udacity SDCND C++ projects. This blog post contains a few tips for using Eclipse CDT to solve the Extended Kalman Filter project....

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Solving the Udacity SDCND exercises with the Windows Subsystem for Linux...

Some of the projects in the SDCND nano-degree are C/C++ projects base on cmake. Though there is some support for using direct Windows development, to some, developing on Linux is more comfortable and...

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Patching the Udacity Self-Driving Car Nanodegree Simulator

For several of its projects in the self-driving car nanodegree course, Udacity provides an Unity based simulator that is used for projects like lane detection and following waypoints on a track. It is...

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