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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

Pixel-Wise Failure Prediction for Semantic Video Segmentation

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

Situation-Aware Model Refinement for Semantic Image Segmentation

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

Trajectory-Based Failure Prediction for Autonomous Driving

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

Adaptive Multi-View Live Video Streaming for Teledriving Using a Single Hardware Encoder

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

Better Look Twice - Improving Visual Scene Perception Using a Two-Stage Approach

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

Measuring Driver Situation Awareness Using Region-of-Interest Prediction and Eye Tracking

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

Introspective Black Box Failure Prediction for Autonomous Driving

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

TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-The-Shelf Components

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

Introspective Failure Prediction for Semantic Image Segmentation

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

Multi-View Region of Interest Prediction for Autonomous Driving Using Semi-Supervised Labeling