38 citations · 93 across the 10 of their papers we have counts for
10 papers
Integrating Static Code Analysis Toolchains
Matthias Kern, Ferhat Erata, Markus Iser +4
This paper proposes an approach for a tool-agnostic and heterogeneous static code analysis toolchain in combination with an exchange format. This approach enhances both traceabilit…
Clustering-based Criticality Analysis for Testing of Automated Driving Systems
Barbara Schütt, Stefan Otten, Eric Sax
With the implementation of the new EU regulation 2022/1426 regarding the type-approval of the automated driving system (ADS) of fully automated vehicles, scenario-based testing has…
1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey
Barbara Schütt, Joshua Ransiek, Thilo Braun +1
Scenario generation is one of the essential steps in scenario-based testing and, therefore, a significant part of the verification and validation of driver assistance functions and…
Inverse Universal Traffic Quality -- a Criticality Metric for Crowded Urban Traffic Scenes
Barbara Schütt, Maximilian Zipfl, J. Marius Zöllner +1
An essential requirement for scenario-based testing the identification of critical scenes and their associated scenarios. However, critical scenes, such as collisions, occur compar…
Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain
Philipp Rigoll, Patrick Petersen, Hanno Stage +2
Handling large amounts of data has become a key for developing automated driving systems. Especially for developing highly automated driving functions, working with images has beco…
Fingerprint of a Traffic Scene: an Approach for a Generic and Independent Scene Assessment
Maximilian Zipfl, Barbara Schütt, J. Marius Zöllner +1
A major challenge in the safety assessment of automated vehicles is to ensure that risk for all traffic participants is as low as possible. A concept that is becoming increasingly…
An Application of Scenario Exploration to Find New Scenarios for the Development and Testing of Automated Driving Systems in Urban Scenarios
Barbara Schütt, Marc Heinrich, Sonja Marahrens +2
Verification and validation are major challenges for developing automated driving systems. A concept that gets more and more recognized for testing in automated driving is scenario…
SceML - A Graphical Modeling Framework for Scenario-based Testing of Autonomous Vehicles
Barbara Schuett, Thilo Braun, Stefan Otten +1
Ensuring the functional correctness and safety of autonomous vehicles is a major challenge for the automotive industry. However, exhaustive physical test drives are not feasible, a…
A taxonomy for quality in simulation-based development and testing of automated driving systems
Barbara Schütt, Markus Steimle, Birte Kramer +2
Ensuring the quality of automated driving systems is a major challenge the automotive industry is facing. In this context, quality defines the degree to which an object meets expec…
CAN Radar: Sensing Physical Devices in CAN Networks based on Time Domain Reflectometry
Marcel Rumez, Jürgen Dürrwang, Tim Brecht +4
The presence of security vulnerabilities in automotive networks has already been shown by various publications in recent years. Due to the specification of the Controller Area Netw…