Oct 21, 2022 · In this paper, we present a framework for learning runtime monitors that capture the ODDs of black-box systems.

Oct 9, 2022 · To guarantee a safe operation of autonomous systems, it is important to run an ML component in its operational design domain (ODD), i.e., the ...

To guarantee a safe operation of autonomous systems, it is important to run an ML component in its operational design domain (ODD), i.e., the conditions under ...

Learning Monitorable Operational Design Domains for Assured Autonomy ; Fulltext: 287352.pdf ; Size: 735.7Kb ; Format: PDF ; Description: Publisher's version.

We investigate the role of ensemble methods in learning runtime monitors for operational design domains of autonomous systems. An operational design domain ...

Oct 3, 2023 · We investigate the role of ensemble methods in learning runtime monitors for operational design domains of autonomous systems.

In this paper, we present a framework for learning runtime monitors for ODDs of autonomous systems with black-box ML components. A runtime monitor of an ODD ...

An operational design domain (ODD) of a system captures the conditions under which we can trust the components of the system to maintain its safety. A runtime ...

Learning Monitorable Operational Design Domains for Assured Autonomy. International Symposium on Automated Technology for Verification and Analysis (2022).

Oct 6, 2023 · Learning monitorable operational design domains for assured autonomy. In International. Symposium on Automated Technology for Verification ...