7 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 2 cited
Towards Self-Supervised High Level Sensor Fusion
Qadeer Khan, Torsten Schön, Patrick Wenzel
In this paper, we present a framework to control a self-driving car by fusing raw information from RGB images and depth maps. A deep neural network architecture is used for mapping…
cs.LG2019★ 3 cited
Semantic Label Reduction Techniques for Autonomous Driving
Qadeer Khan, Torsten Schön, Patrick Wenzel
Semantic segmentation maps can be used as input to models for maneuvering the controls of a car. However, not all labels may be necessary for making the control decision. One would…
cs.LG2019★ 7 cited
Latent Space Reinforcement Learning for Steering Angle Prediction
Qadeer Khan, Torsten Schön, Patrick Wenzel
Model-free reinforcement learning has recently been shown to successfully learn navigation policies from raw sensor data. In this work, we address the problem of learning driving p…