48 citations · 62 across the 14 of their papers we have counts for
5 papers · 1 filter
Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving
Jörg Gamerdinger, Victor Schwarzenberger, Philipp Schmid +2
Increasing safety is the primary objective of automated vehicles. Achieving this goal requires reliable safety metrics that incorporate safety-relevant factors such as object type,…
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…
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…
CoLD Fusion: A Real-time Capable Spline-based Fusion Algorithm for Collective Lane Detection
Jörg Gamerdinger, Sven Teufel, Georg Volk +1
Comprehensive environment perception is essential for autonomous vehicles to operate safely. It is crucial to detect both dynamic road users and static objects like traffic signs o…
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…