Philipp Waeltermann

Engineer and Developer

Udacity Nanodegree

I successfully completed the Self-Driving Car Engineer Nanodegree from Udacity by submitting 9 Python-based projects:

My algorithms lane detection performance (not real-time)
  • 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)
My Neural Net’s steering performance on the more difficult extra-credit track. I recommend watching at 1.75x
  • Project 6: Sparse Localization (Particle Filter)
  • Project 7: Trajectory Planning (Decision Making and Path Planning using Utility Function)
  • Project 8: Lateral Control (PID)
  • Project 9: System Integration (Putting multiple features together)

More details regarding these projects can be found on Github: https://github.com/waelterm?tab=repositories

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