Philipp Waeltermann

Engineer and Developer

Author: Philipp Waeltermann

Master of Science

I am expecting to graduate with my Master of Science in Computer Science in December 2022. My degree specializes in Machine Learning and Robotics. I started the program in August 2020 part-time while working as a Research Engineer at Ford. During my Masters I am taking the following courses: AI for Robotics Computer Vision Machine
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Research Software Engineer at Ford

Since February 2019, I have been a Reseach Engineer at Ford’s Research office in Silicon Valley with the overarching goal of finding and implementing solutions that allow for Level 3 Automation of the driving task. Currently, there is no mass-market vehicle on the roads that offers and L3 driving feature. Both Tesla’s AutoPilot and GM’s
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Image Style Transfer

As part of my DeepLearning Course at Georgia Tech, I use a Neural Network and two different loss functions to transfer the style from one image to another based on ”Image Style Transfer Using Convolutional Neural Networks” by Gatys et al. in 2015. The idea is to have two image, one that determines the content,
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Video Slicing

This project is just for fun. Over the holidays, I felt like being creative. After a few minutes of trying to draw I remember how terrible I was at it. So I decided to switch my tools to a camera and a computer. I had the idea to taking a video, load it as a
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Udacity Nanodegree

I successfully completed the Self-Driving Car Engineer Nanodegree from Udacity by submitting 9 Python-based projects: Project 1: Lane Finding Project 2: Advanced Lane Line Detection (ComputerVision) Project 3: Traffic Sign Classification (Training a ConvNet) Project 4: Behavioral Cloning (End-to-end Driving with Neural Net) Project 5: Sensor Fusion (Extended Kalman Filter) Project 6: Sparse Localization (Particle
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Bachelor of Science

I am excited to have received my Bachelor of Science in Mechanical Engineering with a Minor in Computer Science. This past weekend I was awarded the Board of Trustee Award for graduating with a 4.0 GPA, the Edison Award for the best Capston Project, and was honored to carry the flag of the College of
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Edison Award Winner!

For our capstone project we built a machine that can test diamond codings through automated and repeated impact. The tension loaded impact hammer is lifted through a Cam Follwer mechanism.The Cam is connected to a gear chain system which is powered by an electric motor.The whole machine is automated. One can set the number of
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Internship At Ford

During my Internship at Ford’s Innovation Lab in Silicon Valley, I developed a framework for scalable multi-agent simulation. This C++ based framework allowed to simulate hundreds of vehicles at the same time in order to genereate realistic traffic scenarios. While the majority of the vehicles are actors, it is possible to run multiple egovehicles with
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AutoDrive Challenge

I joined MSU’s AutoDrive Team in the fall of 2017, and have since then designed and implemented steering and torque controllers for our vehicle. In addition to that I helped develop pathplanning algorithms, and learned to work with ROS, use Gitlab, and program in the Linux environment. I was really excited to be one of
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