Foto von Daniel Auge

Daniel Auge, M.Sc.

Technische Universität München

Postadresse

Postal:
Boltzmannstr. 3
85748 Garching b. München


Curriculum Vitae

  • (2018-now) Ph.D. candidate, Technical University of Munich
  • (2018) Software Developer, Ibeo Automotive Systems GmbH
  • (2015-2017) Master of Science in Electrical Engineering, Hamburg University of Technology
  • (2011-2015) Bachelor of Science in General Engineering Science, Hamburg University of Technology

Research Interests

Development of spiking neural networks for the monitoring of analog radar sensor front ends.


Thesis Supervision

Ongoing:

  •  

Finished:

  • Master thesis: Winner-take-all Circuits in Spiking Neural Networks for Object Tracking in Event-based Video Data
  • Master thesis: Development of a Network Architecture for Speech Recognition Using Spiking Networks
  • Master thesis: Embedded AI - Development of a Toolchain for the Adaption of Neural Networks to the Requirements of Embedded Systems
  • Bachelor thesis: Developing an Annotation Tool for Machine Learning
  • Bachelor thesis: Radar Gesture Recognition with Hierarchical Temporal Memory

Publications

2021

  • Saasha Nair, Sina Shafaei, Daniel Auge and Alois Knoll: An Evaluation of “Crash Prediction Networks” (CPN) for Autonomous Driving Scenarios in CARLA Simulator. SafeAI 2021 - The AAAI's Workshop on Artificial Intelligence Safety, 2021, mehr… BibTeX

2020

  • Auge D, Wenner P, Mueller E: Hand Gesture Recognition using Hierarchical Temporal Memory on Radar Sequence Data. Bernstein Conference 2020, 2020 mehr… BibTeX Volltext ( DOI )
  • Daniel Auge, Etienne Mueller: Resonate-and-Fire Neurons as Frequency Selective Input Encoders for Spiking Neural Networks. 2020, mehr… BibTeX Volltext (mediaTUM)
  • Mueller E, Hansjakob J, Auge D: Faster Conversion of Analog to Spiking Neural Networks by Error Centering. Bernstein Conference 2020, 2020 mehr… BibTeX Volltext ( DOI )