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Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Institut für Informatik

Verteidigung Bachelorarbeit: Philipp Badenhoop

Wann 12.02.2019 ab 14:15 (Europe/Berlin / UTC100) iCal
Wo Rudower Chaussee 25, Haus 4, R. 411
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Am Dienstag, dem 12.2.2019 wird Herr Philipp Badenhoop seine Bachelorbeit mit dem Titel

  Autonomous Racing with Deep Learning

verteidigen.

  Beginn: 14:15 Uhr
  Vortragsraum: JvN-Haus, 4.411

Gutachter:
  Prof. Dr. Holger Schlingloff
  Prof. Dr. Verena Hafner


Abstract
This thesis covers the implementation of an autonomous racing car in scale 1:8 using deep learning. Based on the current camera frame, our method employs a neural network which predicts the vehicle’s future path. The network is trained in a supervised fashion using data which is recorded while a human drives the car manually around the racing track. We propose a simple model to control the steering angle and speed using the network’s predictions. Furthermore, we show that our method is both easier to train and to scale up to higher velocities than the well known end-to-end approach which uses a neural network to output the steering commands directly. With our autonomous racing car, we were able to win the third place in the Deep Berlin Robocars Challenge.
 


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