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Documents authored by Mundhenk, Philipp

Document
DOI: 10.4230/OASIcs.ASD.2020.1
Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles

Authors: Tobias Kain, Philipp Mundhenk, Julian-Steffen Müller, Hans Tompits, Maximilian Wesche, and Hendrik Decke

Published in: OASIcs, Volume 79, 2nd International Workshop on Autonomous Systems Design (ASD 2020)

Abstract
Full vehicle autonomy excludes a takeover by passengers in case a safety-critical application fails. Therefore, the system responsible for operating the autonomous vehicle has to detect and handle failures autonomously. Moreover, this system has to ensure the safety of the passengers, as well as the safety of other road users at any given time. Especially in the initial phase of autonomous vehicles, building up consumer confidence is essential. Therefore, in this regard, handling all failures by simply performing an emergency stop is not desirable. In this paper, we introduce an approach enabling a dynamic and safe reconfiguration of the autonomous driving system to handle occurring hardware and software failures. Since the requirements concerning safe reconfiguration actions are significantly affected by the current context the car is experiencing, the developed reconfiguration approach is sensitive to context changes. Our approach defines three interconnected layers, which are distinguished by their level of awareness. The top layer, referred to as the context layer, is responsible for observing the context. These context observations, in turn, imply a set of requirements, which constitute the input for the reconfiguration layer. The latter layer is required to determine reconfiguration actions, which are then executed by the architecture layer.
Cite as

Tobias Kain, Philipp Mundhenk, Julian-Steffen Müller, Hans Tompits, Maximilian Wesche, and Hendrik Decke. Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles. In 2nd International Workshop on Autonomous Systems Design (ASD 2020). Open Access Series in Informatics (OASIcs), Volume 79, pp. 1:1-1:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{kain_et_al:OASIcs.ASD.2020.1,
  author =	{Kain, Tobias and Mundhenk, Philipp and M\"{u}ller, Julian-Steffen and Tompits, Hans and Wesche, Maximilian and Decke, Hendrik},
  title =	{{Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles}},
  booktitle =	{2nd International Workshop on Autonomous Systems Design (ASD 2020)},
  pages =	{1:1--1:7},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-141-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{79},
  editor =	{Steinhorst, Sebastian and Deshmukh, Jyotirmoy V.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2020.1},
  URN =		{urn:nbn:de:0030-drops-125956},
  doi =		{10.4230/OASIcs.ASD.2020.1},
  annote =	{Keywords: autonomous driving, fail-operational systems, context-based architecture, application placement, optimization, monitoring}
}
Document
DOI: 10.4230/OASIcs.ASD.2020.2
Fusion: A Safe and Secure Software Platform for Autonomous Driving

Authors: Philipp Mundhenk, Enrique Parodi, and Roland Schabenberger

Published in: OASIcs, Volume 79, 2nd International Workshop on Autonomous Systems Design (ASD 2020)

Abstract
The vastly increasing amount of software in vehicles, its variability and complexity, as well as the computational requirements, especially for those built with autonomous driving in mind, require new approaches to the structure and integration of software. The traditional approaches of single-purpose embedded devices with integrated software are no longer a suitable choice. New architectures introduce general purpose compute devices, capable of high-performance computation, as well as high variability of software. Managing the increasing complexity, also at runtime, in a safe and secure manner, are open challenges. Solving these challenges is a high-complexity development and integration effort requiring design-time and runtime configuration, approaches to communication middleware, operating system configuration, such as task scheduling, monitoring, tight integration of security and safety, and, especially in the case of autonomous driving, concepts for dynamic adaption of the system to the situation, e.g., fail-operational concepts. We present Fusion, a next-generation software platform supporting the development of autonomous driving systems.
Cite as

Philipp Mundhenk, Enrique Parodi, and Roland Schabenberger. Fusion: A Safe and Secure Software Platform for Autonomous Driving. In 2nd International Workshop on Autonomous Systems Design (ASD 2020). Open Access Series in Informatics (OASIcs), Volume 79, pp. 2:1-2:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{mundhenk_et_al:OASIcs.ASD.2020.2,
  author =	{Mundhenk, Philipp and Parodi, Enrique and Schabenberger, Roland},
  title =	{{Fusion: A Safe and Secure Software Platform for Autonomous Driving}},
  booktitle =	{2nd International Workshop on Autonomous Systems Design (ASD 2020)},
  pages =	{2:1--2:6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-141-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{79},
  editor =	{Steinhorst, Sebastian and Deshmukh, Jyotirmoy V.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2020.2},
  URN =		{urn:nbn:de:0030-drops-125969},
  doi =		{10.4230/OASIcs.ASD.2020.2},
  annote =	{Keywords: middleware, software platform, autonomous driving}
}
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