48 citations · 54 across the 4 of their papers we have counts for
7 papers
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…
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…
SnowyLane: Robust Lane Detection on Snow-covered Rural Roads Using Infrastructural Elements
Jörg Gamerdinger, Benedict Wetzel, Patrick Schulz +2
Lane detection for autonomous driving in snow-covered environments remains a major challenge due to the frequent absence or occlusion of lane markings. In this paper, we present a…
DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising
Sven Teufel, Dominique Mayer, Jörg Gamerdinger +1
While automated vehicles hold the potential to significantly reduce traffic accidents, their perception systems remain vulnerable to sensor degradation caused by adverse weather an…