Markus Hofbauer
Markus Hofbauer
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Pixel-Wise Failure Prediction for Semantic Video Segmentation
We propose a pixel-accurate failure prediction approach for semantic video segmentation. The proposed scheme improves previously …
Christopher Kuhn
,
Markus Hofbauer
,
Ziqin Xu
,
Goran Petrovic
,
Eckehard Steinbach
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Situation-Aware Model Refinement for Semantic Image Segmentation
The quality of semantic image segmentation models can be affected by external factors such as weather or daytime. Those factors can …
Lukas Habermayr
,
Markus Hofbauer
,
Joao-Vitor Zacchi
,
Christopher Kuhn
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Trajectory-Based Failure Prediction for Autonomous Driving
In autonomous driving, complex traffic scenarios can cause situations that require human supervision to resolve safely. Instead of only …
Christopher Kuhn
,
Markus Hofbauer
,
Goran Petrovic
,
Eckehard Steinbach
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Adaptive Multi-View Live Video Streaming for Teledriving Using a Single Hardware Encoder
Teleoperated driving (TOD) is a possible solution to cope with failures of autonomous vehicles. In TOD, the human operator perceives …
Markus Hofbauer
,
Christopher Kuhn
,
Goran Petrovic
,
Eckehard Steinbach
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Better Look Twice - Improving Visual Scene Perception Using a Two-Stage Approach
Accurate visual scene perception plays an important role in fields such as medical imaging or autonomous driving. Recent advances in …
Christopher Kuhn
,
Markus Hofbauer
,
Goran Petrovic
,
Eckehard Steinbach
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Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking
With increasing progress in autonomous driving, the human does not have to be in control of the vehicle for the entire drive. A human …
Markus Hofbauer
,
Christopher Kuhn
,
Lukas Püttner
,
Goran Petrovic
,
Eckehard Steinbach
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Introspective Black Box Failure Prediction for Autonomous Driving
Failures in autonomous driving caused by complex traffic situations or model inaccuracies remain inevitable in the near future. While …
Christopher Kuhn
,
Markus Hofbauer
,
Goran Petrovic
,
Eckehard Steinbach
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TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-The-Shelf Components
Teledriving is a possible fallback mode to cope with failures of fully autonomous vehicles. One important requirement for teleoperated …
Markus Hofbauer
,
Christopher Kuhn
,
Goran Petrovic
,
Eckehard Steinbach
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Introspective Failure Prediction for Semantic Image Segmentation
Semantic segmentation of images enables pixel-wise scene understanding which in turn is a critical component for tasks such as …
Christopher Kuhn
,
Markus Hofbauer
,
Sungkyu Lee
,
Goran Petrovic
,
Eckehard Steinbach
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Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling
Visual environment perception is one of the key elements for autonomous and manual driving. Modern fully automated vehicles are …
Markus Hofbauer
,
Christopher Kuhn
,
Jiaming Meng
,
Goran Petrovic
,
Eckehard Steinbach
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