Search Results for author: Markus Maurer

Found 16 papers, 0 papers with code

Towards Scenario- and Capability-Driven Dataset Development and Evaluation: An Approach in the Context of Mapless Automated Driving

no code implementations30 Apr 2024 Felix Grün, Marcus Nolte, Markus Maurer

The foundational role of datasets in defining the capabilities of deep learning models has led to their rapid proliferation.

Lane Detection

A Concept for Semi-Automatic Configuration of Sufficiently Valid Simulation Setups for Automated Driving Systems

no code implementations30 Apr 2024 Niklas Braun, Markus Steimle, Martin Törngren, Markus Maurer

The latter contract captures the operating conditions of the test case in its assumption and validity requirements in its guarantee.

valid

A Prototypical Expert-Driven Approach Towards Capability-Based Monitoring of Automated Driving Systems

no code implementations25 Apr 2024 Richard Schubert, Cedrik Kaufmann, Marcus Nolte, Markus Maurer

Using the online monitor, we infer the quality of the system's capabilities based on technical measurements acquired at runtime.

Showcasing Automated Vehicle Prototypes: A Collaborative Release Process to Manage and Communicate Risk

no code implementations24 Apr 2024 Marvin Loba, Robert Graubohm, Markus Maurer

The development and deployment of automated vehicles pose major challenges for manufacturers to this day.

valid

Identifikation auslösender Umstände von SOTIF-Gefährdungen durch systemtheoretische Prozessanalyse

no code implementations11 Mar 2024 Robert Graubohm, Marvin Loba, Marcus Nolte, Markus Maurer

Developers have to obtain a sound understanding of existing risk potentials already in the concept phase of driverless vehicles.

On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions

no code implementations15 May 2023 Robert Graubohm, Nayel Fabian Salem, Marcus Nolte, Markus Maurer

Automated driving systems are subject to various kinds of uncertainty during design, development, and operation.

Risk Management Core -- Towards an Explicit Representation of Risk in Automated Driving

no code implementations15 Feb 2023 Nayel Fabian Salem, Thomas Kirschbaum, Marcus Nolte, Christian Lalitsch-Schneider, Robert Graubohm, Jan Reich, Markus Maurer

While current automotive safety standards provide implicit guidance on how unreasonable risk can be avoided, manufacturers are required to specify risk acceptance criteria for Automated Driving Systems (SAE Level 3 and higher).

Management

Ein Beitrag zur durchgängigen, formalen Verhaltensspezifikation automatisierter Straßenfahrzeuge

no code implementations15 Sep 2022 Nayel Fabian Salem, Veronica Haber, Matthias Rauschenbach, Marcus Nolte, Jan Reich, Torben Stolte, Robert Graubohm, Markus Maurer

With the introduction of the \textit{semantic norm behavior analysis} a method is proposed, which contributes to a traceable mapping of concerns towards the behavior of an automated vehicle in its operational environment to a formal rule system of semantic concepts for considered scenarios.

A Taxonomy to Unify Fault Tolerance Regimes for Automotive Systems: Defining Fail-Operational, Fail-Degraded, and Fail-Safe

no code implementations21 Jun 2021 Torben Stolte, Stefan Ackermann, Robert Graubohm, Inga Jatzkowski, Björn Klamann, Hermann Winner, Markus Maurer

This paper presents a taxonomy that allows defining the fault tolerance regimes fail-operational, fail-degraded, and fail-safe in the context of automotive systems.

Sensitivity Analysis for Vehicle Dynamics Models -- An Approach to Model Quality Assessment for Automated Vehicles

no code implementations8 May 2020 Marcus Nolte, Richard Schubert, Cordula Reisch, Markus Maurer

Model-based approaches have become increasingly popular in the domain of automated driving.

Systems and Control Systems and Control

Assessment of Deep Convolutional Neural Networks for Road Surface Classification

no code implementations24 Apr 2018 Marcus Nolte, Nikita Kister, Markus Maurer

When parameterizing vehicle control algorithms for stability or trajectory control, the road-tire friction coefficient is an essential model parameter when it comes to control performance.

Classification Friction +1

Scenarios for Development, Test and Validation of Automated Vehicles

no code implementations5 Jan 2018 Till Menzel, Gerrit Bagschik, Markus Maurer

In this paper, the authors present requirements for the representation of scenarios in different process steps defined by the ISO 26262 standard, propose a consistent terminology based on prior publications for the identified levels of abstraction, and demonstrate how scenarios can be systematically evolved along the phases of the development process outlined in the ISO 26262 standard.

Software Engineering

Ontology based Scene Creation for the Development of Automated Vehicles

no code implementations29 Mar 2017 Gerrit Bagschik, Till Menzel, Markus Maurer

The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis.

Towards a Functional System Architecture for Automated Vehicles

no code implementations24 Mar 2017 Simon Ulbrich, Andreas Reschka, Jens Rieken, Susanne Ernst, Gerrit Bagschik, Frank Dierkes, Marcus Nolte, Markus Maurer

This paper presents a functional system architecture for an automated vehicle.

Systems and Control Robotics

Cannot find the paper you are looking for? You can Submit a new open access paper.