Funktionale Sicherheit von Künstlicher Intelligenz

With the application of deep learning and machine learning, artificial intelligence (AI) has reached maturity in which it can also be used in safety-relevant areas. The recognition of features in images or videos and the further processing of the features found during automated driving may be mentioned here as an example. Corresponding further use cases of AI can lie in the support of sensor fusion functions and driving decisions. Automated driving should be mentioned here as a continuous example of a possible application area for AI, in which safety in the form of safety also plays a role

Nutzen für den Teilnehmer:
- Overview of safety related aspects of artifical intelligence
- Approaches to deal with the "undeterministic" behaviour of AIs
- State of the Art, newest Standards and regulations
- Full automated driving as a major application for AIs

Behandelte Problemstellungen:
If, as played through in the example, safety-relevant signals such as the recognition of a traffic sign in a recorded video image are carried out using AI algorithms, this signal and its information content must be checked for correctness...

ANSI/UL 4600 Standard for Safety for the Evaluation of Autonomous Products encompasses fully autonomous systems that move such as self-driving cars, along with applications in mining, agriculture, maintenance, and other vehicles including ....

Framework for Automated Driving System Testable Cases and Scenarios

Vorgetragen von: Manfred Reisner
Unternehmen: ACTARON GmbH

Vortragssprache: Deutsch
Level: Experte
Zielgruppe: Software Teamleiter, Entwickler in sicherheitskritischen Anwendungen

Partner der Konferenz 2022

ASQF e.V ATB - Austrian Testing Board coderskitchen dpunkt.verlag GmbH Fortiss GmbH GTB - German Testing Board Heise Medien GmbH & Co. KG iSQI GmbH IT Verlag für Informationstechnik GmbH SIGS DATACOM GmbH TU Wien, Institut für Information Systems Engineering, CDL-SQI WKO - Wirtschaftskammer
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