Smart Monitoring for Safety-Assurance in Autonomous Driving

Georg Stettinger; Franz Wotawa

doi:10.18293/SEKE2023-144

Smart Monitoring for Safety-Assurance in Autonomous Driving

Georg Stettinger^*, Franz Wotawa

^*Corresponding author for this work

Institute of Software Engineering and Artificial Intelligence (7160)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Monitoring the functionality of systems during operation is vital for detecting faults and preventing their consequences. In autonomous driving, monitoring is even more critical because of hardly being able to verify all implemented functionality. Today, systems comprise many interacting components making centralized monitoring less feasible and hard to handle. Hence, we suggest a distributed but connected monitoring system that reflects the system’s conceptual structure. In this paper, we outline the foundations of a monitoring system, present some applications and show how we use concepts like the operational design domain and requirements for obtaining the required monitoring knowledge in the application area of autonomous driving.

Original language	English
Title of host publication	Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE
Pages	542-547
Number of pages	6
Volume	2023-July
DOIs	https://doi.org/10.18293/SEKE2023-144
Publication status	Published - 2023
Event	35th International Conference on Software Engineering and Knowledge Engineering: SEKE 2023 - San Francisco, Hybrid / Virtual, United States Duration: 1 Jul 2023 → 10 Jul 2023

Conference

Conference	35th International Conference on Software Engineering and Knowledge Engineering
Abbreviated title	SEKE 2023
Country/Territory	United States
City	San Francisco, Hybrid / Virtual
Period	1/07/23 → 10/07/23

ASJC Scopus subject areas

Software

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Stettinger, G & Wotawa, F 2023, Smart Monitoring for Safety-Assurance in Autonomous Driving. in Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE. vol. 2023-July, pp. 542-547, 35th International Conference on Software Engineering and Knowledge Engineering, San Francisco, Hybrid / Virtual, United States, 1/07/23. https://doi.org/10.18293/SEKE2023-144

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abstract = "Monitoring the functionality of systems during operation is vital for detecting faults and preventing their consequences. In autonomous driving, monitoring is even more critical because of hardly being able to verify all implemented functionality. Today, systems comprise many interacting components making centralized monitoring less feasible and hard to handle. Hence, we suggest a distributed but connected monitoring system that reflects the system{\textquoteright}s conceptual structure. In this paper, we outline the foundations of a monitoring system, present some applications and show how we use concepts like the operational design domain and requirements for obtaining the required monitoring knowledge in the application area of autonomous driving.",

author = "Georg Stettinger and Franz Wotawa",

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AB - Monitoring the functionality of systems during operation is vital for detecting faults and preventing their consequences. In autonomous driving, monitoring is even more critical because of hardly being able to verify all implemented functionality. Today, systems comprise many interacting components making centralized monitoring less feasible and hard to handle. Hence, we suggest a distributed but connected monitoring system that reflects the system’s conceptual structure. In this paper, we outline the foundations of a monitoring system, present some applications and show how we use concepts like the operational design domain and requirements for obtaining the required monitoring knowledge in the application area of autonomous driving.

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ER -

Smart Monitoring for Safety-Assurance in Autonomous Driving

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