6 citations · 14 across the 12 of their papers we have counts for
14 papers
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…
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…
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…
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…
S2S-Net: Addressing the Domain Gap of Heterogeneous Sensor Systems in LiDAR-Based Collective Perception
Sven Teufel, Jörg Gamerdinger, Oliver Bringmann
Collective Perception (CP) has emerged as a promising approach to overcome the limitations of individual perception in the context of autonomous driving. Various approaches have be…
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…
MR3D-Net: Dynamic Multi-Resolution 3D Sparse Voxel Grid Fusion for LiDAR-Based Collective Perception
Sven Teufel, Jörg Gamerdinger, Georg Volk +1
The safe operation of automated vehicles depends on their ability to perceive the environment comprehensively. However, occlusion, sensor range, and environmental factors limit the…
SCOPE: A Synthetic Multi-Modal Dataset for Collective Perception Including Physical-Correct Weather Conditions
Jörg Gamerdinger, Sven Teufel, Patrick Schulz +3
Collective perception has received considerable attention as a promising approach to overcome occlusions and limited sensing ranges of vehicle-local perception in autonomous drivin…
LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving
Jörg Gamerdinger, Sven Teufel, Stephan Amann +2
Comprehensive perception of the vehicle's environment and correct interpretation of the environment are crucial for the safe operation of autonomous vehicles. The perception of sur…
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review
Sven Teufel, Jörg Gamerdinger, Jan-Patrick Kirchner +2
To ensure safe operation of autonomous vehicles in complex urban environments, complete perception of the environment is necessary. However, due to environmental conditions, sensor…
Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception
Sven Teufel, Jörg Gamerdinger, Georg Volk +1
Comprehensive perception of the environment is crucial for the safe operation of autonomous vehicles. However, the perception capabilities of autonomous vehicles are limited due to…