Philipp Waeltermann

Engineer and Developer

Machine Learning in Space

This project was done in cooperation with Professor Firas Khasawneh .The ultimate goal for this project is to use machine learning classifiers on objects detected in space based on their light reflection. The big challenge to train such a classifier is to gather enough training data. As it is unfeasable for me to gather real-world reflection data
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Internship at dSPACE

During my internship at dSPACE I developed a Lane Centering and lane change decision making algorithm using dSPACE’s SIL tools. The controllers were developed in Simulink and tested with dSPACE MotionDesk, dSPACE VEOS, dSPACE ModelDesk, and dSPACE ControlDesk. The lane centering controller was based on an the Stanley Controller used by Stanford during the DARPA
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Internship at TESLA

During my Internship at Tesla Motors, I developed a machine that could test the cooling performance of prototype battery packs for Model S, Model Y, and Model 3 in an automated way. The machine could push coolant through the the battery pack and measure temperature at multiple locations within the battery pack as well as
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Internship At Bosch

During my internship at BOSCH, I worked on the Electric Drives team. I developed testing procedures for both seat adjustment and steering column motors. I performed those tests, and reported results to the application engineers on multiple projects. Not only did I learn about testing procedures, debugging circuits, as well as hardware test design. I
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