Failure Prediction

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

Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information

We present an introspective failure prediction approach for autonomous vehicles. In autonomous driving, complex or unknown scenarios …

Christopher Kuhn, Markus Hofbauer, Goran Petrovic, Eckehard Steinbach

Introspective Failure Prediction for Autonomous Driving Using Late Fusion of State and Camera Information

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

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

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

Teleoperation for Autonomous Driving Failures

Markus Hofbauer, Christopher Kuhn, Eckehard Steinbach

Teleoperation for Autonomous Driving Failures