activity
20162025
most citedCriticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

152 citations · 168 across the 9 of their papers we have counts for

collaborators

11 papers

cs.RO2025

On Scenario Formalisms for Automated Driving

Christian Neurohr, Lukas Westhofen, Tjark Koopmann +3

The concept of scenario and its many qualifications -- specifically logical and abstract scenarios -- have emerged as a foundational element in safeguarding automated driving syste…

cs.GR2025★ 2 cited

Implicit Incompressible Porous Flow using SPH

Timna Böttcher, Stefan Rhys Jeske, Lukas Westhofen +1

We present a novel implicit porous flow solver using SPH, which maintains fluid incompressibility and is able to model a wide range of scenarios, driven by strongly coupled solid-f…

cs.RO2023

On Quantification for SOTIF Validation of Automated Driving Systems

Lina Putze, Lukas Westhofen, Tjark Koopmann +2

Automated driving systems are safety-critical cyber-physical systems whose safety of the intended functionality (SOTIF) can not be assumed without proper argumentation based on app…

cs.CE2023★ 2 cited

SymX: Energy-based Simulation from Symbolic Expressions

José Antonio Fernández-Fernández, Fabian Löschner, Lukas Westhofen +2

Optimization time integrators are effective at solving complex multi-physics problems including deformable solids with non-linear material models, contact with friction, strain lim…

cs.AI2022★ 5 cited

Grasping Causality for the Explanation of Criticality for Automated Driving

Tjark Koopmann, Christian Neurohr, Lina Putze +3

The verification and validation of automated driving systems at SAE levels 4 and 5 is a multi-faceted challenge for which classical statistical considerations become infeasible. Fo…

cs.AI2022★ 4 cited

Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving

Lukas Westhofen, Christian Neurohr, Martin Butz +2

Knowledge representation and reasoning has a long history of examining how knowledge can be formalized, interpreted, and semantically analyzed by machines. In the area of automated…

cs.RO2021★ 152 cited

Criticality Metrics for Automated Driving: A Review and Suitability Analysis of the State of the Art

Lukas Westhofen, Christian Neurohr, Tjark Koopmann +6

The large-scale deployment of automated vehicles on public roads has the potential to vastly change the transportation modalities of today's society. Although this pursuit has been…

cs.OH2020★ 1 cited

6-Layer Model for a Structured Description and Categorization of Urban Traffic and Environment

Maike Scholtes, Lukas Westhofen, Lara Ruth Turner +11

Verification and validation of automated driving functions impose large challenges. Currently, scenario-based approaches are investigated in research and industry, aiming at a redu…

cs.SE2020★ 2 cited

Fundamental Considerations around Scenario-Based Testing for Automated Driving

Christian Neurohr, Lukas Westhofen, Tabea Henning +3

The homologation of automated vehicles, being safety-critical complex systems, requires sound evidence for their safe operability. Traditionally, verification and validation activi…

cs.LO2020

Benchmarking Software Model Checkers on Automotive Code

Lukas Westhofen, Philipp Berger, Joost-Pieter Katoen

This paper reports on our experiences with verifying automotive C code by state-of-the-art open source software model checkers. The embedded C code is automatically generated from…

cs.PL2016

Bounded Model Checking for Probabilistic Programs

Nils Jansen, Christian Dehnert, Benjamin Lucien Kaminski +2

In this paper we investigate the applicability of standard model checking approaches to verifying properties in probabilistic programming. As the operational model for a standard p…