5 papers · 1 filter
From Real-World Traffic Data to Relevant Critical Scenarios
Florian Lüttner, Nicole Neis, Daniel Stadler +5
The reliable operation of autonomous vehicles, automated driving functions, and advanced driver assistance systems across a wide range of relevant scenarios is critical for their d…
A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions
Nicole Neis, Juergen Beyerer
The lateral position of vehicles within their lane is a decisive factor for the range of vision of vehicle sensors. This, in turn, is crucial for a vehicle's ability to perceive it…
Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations
Nicole Neis, Juergen Beyerer
The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such…
A Joint Approach Towards Data-Driven Virtual Testing for Automated Driving: The AVEAS Project
Leon Eisemann, Mirjam Fehling-Kaschek, Silke Forkert +18
With growing complexity and responsibility of automated driving functions in road traffic and growing scope of their operational design domains, there is increasing demand for cove…
An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions
Leon Eisemann, Mirjam Fehling-Kaschek, Henrik Gommel +13
With growing complexity and criticality of automated driving functions in road traffic and their operational design domains (ODD), there is increasing demand for covering significa…