Computational resource configuration analysis and optimization methods for unmanned system considering intended functionality safety

Abstract

With the rapid expansion of unmanned system capabilities, integrating and sharing computing resources has become essential. In addition to enhancing resource utilization efficiency, this architecture may also introduce conflicts related to resource competition. Therefore, effective resource-sharing configurations are crucial to ensure the Safety of the Intended Functionality (SOTIF). This paper proposes a computing resource configuration analysis and optimization methods for SOTIF. First, four SOTIF requirements are explored using the computing resource-sharing architecture for unmanned systems, encompassing computing time, computing power, energy consumption restrictions, and mutual exclusion and correlation. Secondly, the computing resource configuration model and its SOTIF constraints are formalized based on the graph and set theories. Subsequently, this study divides the design process of computing resource configuration schemes into resource selection and allocation. It introduces a resource selection optimization method based on Forward Checking and a resource allocation optimization method based on NSGA-II. Finally, a typical unmanned driving scenario is considered as an example, and the optimal resource selection and allocation schemes are sequentially determined using the proposed method on the computing platform.

Graphical abstract

Keywords

safety analysis / unmanned system / safety of the intended functionality / computational resource allocation / optimization.

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