60 citations · 61 across the 4 of their papers we have counts for
4 papers
Background-Foreground Segmentation for Interior Sensing in Automotive Industry
Claudia Drygala, Matthias Rottmann, Hanno Gottschalk +2
To ensure safety in automated driving, the correct perception of the situation inside the car is as important as its environment. Thus, seat occupancy detection and classification…
PrognoseNet: A Generative Probabilistic Framework for Multimodal Position Prediction given Context Information
Thomas Kurbiel, Akash Sachdeva, Kun Zhao +1
The ability to predict multiple possible future positions of the ego-vehicle given the surrounding context while also estimating their probabilities is key to safe autonomous drivi…
RetinotopicNet: An Iterative Attention Mechanism Using Local Descriptors with Global Context
Thomas Kurbiel, Shahrzad Khaleghian
Convolutional Neural Networks (CNNs) were the driving force behind many advancements in Computer Vision research in recent years. This progress has spawned many practical applicati…
Training of Deep Neural Networks based on Distance Measures using RMSProp
Thomas Kurbiel, Shahrzad Khaleghian
The vanishing gradient problem was a major obstacle for the success of deep learning. In recent years it was gradually alleviated through multiple different techniques. However the…