Functional Safety and Evolvable Architectures for Autonomy

Nilsson, Jonas; Bergenhem, Carl; Behere, Sagar; Tryggvesson, Jörgen; Ursing, Stig; Söderberg, Andreas; Törngren, Martin; Warg, Fredrik

doi:10.1007/978-3-319-31895-0_25

Cited by 5 publications

(6 citation statements)

References 2 publications

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“…More general solutions that combine reactiveness and proactivity (like Lincoln et al, 2010;Maleš & Ribarić, 2016), or classical multiagent systems (like Müller & Pischel, 1993;Pollack et al, 1987) are not oriented towards the specificity of CAVs and their environment. However, the proposed architecture derives inspiration from existing solutions (Behere & Torngren, 2015;Brooks, 1986;Ferguson, 1992;Georgeff & Ingrand, 1989;Johansson et al, 2017;Lygeros et al, 1997) and applies some of their ideas. To our best knowledge, though, no other validated models of CAVs (like Al-Zinati & Zalila-Wenkstern, 2015;Guériau et al, 2015;Krajzewicz, 2010;Passos et al, 2011) incorporate all of the features characteristic of our design.…”

Section: Related Workmentioning

confidence: 99%

BASTA: BDI-based architecture of simulated traffic agents

Rüb

Dunin-Keplicz

2020

Journal of Information and Telecommunication

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It is expected that connected and autonomous vehicles (CAVs) will soon become a regular means of transportation. To fully leverage the potential of this new technology, it is necessary to equip such cars with efficient algorithms permitting them to drive in a safe and optimal manner. Thereby we aim to design and implement tools for convenient evaluation of strategies for driving and interactions in various settings. In this paper, we present the results of the first stage of our bigger research program on a simulation framework of CAVs. A search for a balance between complexity and comprehensibility of the solution led us to the field of multiagent systems. Beliefs-Desires-Intentions (BDI) systems offer useful abstractions for activities of a single selfdriving car and collective intelligence of such vehicles. Indeed, the BDI framework helps to combine two distinct natures of a selfdriving car: its reactiveness and proactiveness. Moreover, the modularity of the resulting architectures for an individual CAV and urban traffic induced by these cars makes the design intelligible and flexible. Our prototype verifies the feasibility of this concept.

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Section: Related Workmentioning

confidence: 99%

BASTA: BDI-based architecture of simulated traffic agents

Rüb

Dunin-Keplicz

2020

Journal of Information and Telecommunication

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“…Their approach determines sensor and algorithmic concepts before generating the functional safety concept and, thus, does not generate work products of the concept phase independent of technical implementation considerations, as performed in the aFAS project. Johansson et al (2017) discuss the iterative character of the concept phase comprising the work products of ISO 26262 in the context of the research project FUSE. The authors propose the need for additional steps and formal refinement verification when deriving safety requirements from safety goals.…”

Section: Related Workmentioning

confidence: 99%

Functional Safety Concept Generation within the Process of Preliminary Design of Automated Driving Functions at the Example of an Unmanned Protective Vehicle

Graubohm¹,

Stolte²,

Bagschik³

et al. 2019

Proc. Int. Conf. Eng. Des.

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Structuring the early design phase of automotive systems is an important part of efficient and successful development processes. Today, safety considerations (e.g., the safety life cycle of ISO 26262) significantly affect the course of development. Preliminary designs are expressed in functional system architectures, which are required to form safety concepts. Thus, mapping tasks and work products to a reference process during early design stages is an important part of structuring the system development. This contribution describes the systematic creation and notation of the functional safety concept within the concept phase of development of an unmanned protective vehicle within the research project aFAS. Different stages of preliminary design and dependencies between them are displayed by the work products created and used. The full set of functional safety requirements and an excerpt of the safety argument structure of the SAE level 4 application are presented.

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“…Based on the literature available [3,9,14], the Automated Driving System has to operate 7 high-level operational capabilities. Each of these capabilities captures and consolidates operational needs in the functional architecture.…”

Section: B Main High-level Capabilities For Functional Architecture mentioning

confidence: 99%

“…Our proposition addresses the problem of functional safety allowing monitoring and adaptation to context changes and validation at run-time. Based on existing and recent recommendations in the domain [9], a such solution would require the following elements:…”

Section: Rationales For a Safety-oriented Reference Architecturementioning

confidence: 99%

“…However, with the advent of automated vehicles that requires more and more understanding of its context, the necessity to build an extendable, context-aware, evolvable and pluggable architecture has arisen at run-time [9]. In fact, levels 4-5 ADS-operated vehicles require a well-adapted architecture aimed at developing the appropriate functions, capabilities and skills to adapt to complex and dynamic environment situations while still guaranteeing non-functional properties, as safety in any situations [8,10].…”

Section: Introductionmentioning

confidence: 99%

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Challenges for the Self-Safety in Autonomous Vehicles

Carre

Expósito

Ibañez‐Guzmán

2018

2018 13th Annual Conference on System of Systems Engineering (SoSE)

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The combination of multiple functions having different and complementary capabilities enables the emergence of Autonomous Vehicles. Their deployment is limited by the level of complexity they represent together with the challenges encountered in real environments with strong safety concerns. Thus a major concern prior to massive deployment is on how to ensure the safety of autonomous vehicles despite likely internal (e.g. malfunctions) and external (e.g. aggressive behaviors) disturbances they might undergo. This paper presents the challenges that undergoes the design and development of autonomous vehicles with respect to their functional architecture and adaptive behaviors from a safety perspective. For the purpose of the rationales, we define needs and requirements that lead to the formulation of an architectural framework. Our approach is based on paradigms and technologies from non-automotive domains to address non-functional system properties like safety, reliability and security. The notion of micro-services is also introduced for the self-safety of autonomous vehicles. These are part of the proposed framework that should facilitate the analysis, design, development and validation for the adequate composition and orchestration of services aimed to warrant the required non-functional properties, such as safety. In the present paper, we introduce the structural and behavioral adaptations of the framework to offer a holistic and scalable vision of the safety over the system.

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Functional Safety and Evolvable Architectures for Autonomy

Cited by 5 publications

References 2 publications

BASTA: BDI-based architecture of simulated traffic agents

BASTA: BDI-based architecture of simulated traffic agents

Functional Safety Concept Generation within the Process of Preliminary Design of Automated Driving Functions at the Example of an Unmanned Protective Vehicle

Challenges for the Self-Safety in Autonomous Vehicles

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