1 | Andreas Bär

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks

Deep neural networks (DNNs) for highly automated driving are often trained on a large and diverse dataset, and evaluation metrics are …

Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt

Improving Online Performance Prediction for Semantic Segmentation

In this work we address the task of observing the performance of a semantic segmentation deep neural network (DNN) during online …

Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt

Focussing Learned Image Compression to Semantic Classes for V2X Applications

Cooperative perception with many sensors involved greatly improves the performance of perceptual systems in autonomous vehicles. …

Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels

While neural networks trained for semantic segmentation are essential for perception in autonomous driving, most current algorithms …

Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation

While current approaches for neural network training often aim at improving performance, less focus is put on training methods aiming …

Marvin Klingner, Andreas Bär, Tim Fingscheidt

Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote

The lack of robustness shown by deep neural networks (DNNs) questions their deployment in safety-critical tasks, such as autonomous …

Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving

Commonly used metrics to evaluate semantic segmentation such as mean intersection over union (mIoU) do not incorporate temporal …

Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt

On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation

The trend towards autonomous systems in today’s technology comes with the need for environment perception. Deep neural networks (DNNs) …

Andreas Bär, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation

The high amount of sensors required for autonomous driving poses enormous challenges on the capacity of automotive bus systems. There …

Jonas Loehdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt

Towards Corner Case Detection for Autonomous Driving

The progress in autonomous driving is also due to the increased availability of vast amounts of training data for the underlying …

Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt