Fusion: A Safe and Secure Software Platform for Autonomous Driving

Authors Philipp Mundhenk, Enrique Parodi, Roland Schabenberger

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Author Details

Philipp Mundhenk
  • Autonomous Intelligent Driving GmbH, München, Germany
Enrique Parodi
  • Autonomous Intelligent Driving GmbH, München, Germany
Roland Schabenberger
  • Autonomous Intelligent Driving GmbH, München, Germany

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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)


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.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Embedded software
  • middleware
  • software platform
  • autonomous driving


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