11 papers
Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review
Jörg Gamerdinger, Sven Teufel, Oliver Bringmann
Accurate lane detection is essential for automated driving, enabling safe and reliable vehicle navigation across a variety of road scenarios. Numerous datasets have been introduced…
CarlaNCAP: A Framework for Quantifying the Safety of Vulnerable Road Users in Infrastructure-Assisted Collective Perception Using EuroNCAP Scenarios
Jörg Gamerdinger, Sven Teufel, Simon Roller +1
The growing number of road users has significantly increased the risk of accidents in recent years. Vulnerable Road Users (VRUs) are particularly at risk, especially in urban envir…
Image Compression with Bubble-Aware Frame Rate Adaptation for Energy-Efficient Video Capsule Endoscopy
Oliver Bause, Jörg Gamerdinger, Julia Werner +1
Video Capsule Endoscopy (VCE) is a promising method for improving the medical examination of the small intestine in the gastrointestinal tract. A key challenge is their limited siz…
EPSM: A Novel Metric to Evaluate the Safety of Environmental Perception in Autonomous Driving
Jörg Gamerdinger, Sven Teufel, Stephan Amann +2
Extensive evaluation of perception systems is crucial for ensuring the safety of intelligent vehicles in complex driving scenarios. Conventional performance metrics such as precisi…
Criticality Metrics for Relevance Classification in Safety Evaluation of Object Detection in Automated Driving
Jörg Gamerdinger, Sven Teufel, Stephan Amann +1
Ensuring safety is the primary objective of automated driving, which necessitates a comprehensive and accurate perception of the environment. While numerous performance evaluation…
A Comprehensive Safety Metric to Evaluate Perception in Autonomous Systems
Georg Volk, Jörg Gamerdinger, Alexander von Bernuth +1
Complete perception of the environment and its correct interpretation is crucial for autonomous vehicles. Object perception is the main component of automotive surround sensing. Va…