Search Results for author: Robert Graubohm

Found 6 papers, 0 papers with code

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.

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