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- W4283651955 abstract "The heterogeneous and distributed nature of automotive software systems demands flexible software components which can operate in different environments. Because of heterogeneous automotive development environments, the domain experts must cope with an exorbitant quantity of diversities, adaption layers, and incompatibilities to design applications for the current generation of autonomous driving vehicles. Franca Interface Definition Language (FIDL) is an interface description language, commonly used in the automotive infotainment industry to define the interfaces of software components in a language-independent way. Code generators for the language are available, which convert FIDL interface files to server stub and proxy code in an implementation language. The goal of this paper is to give an overview and a proposal on how existing machine vision algorithms that are basing their communication on the FIDL can be integrated into an Adaptive AUTOSAR environment that is basing its communication on a different communication interfaces definition language. This way of software components integration enables system resource planning at the design time, thus contributing to security and avoiding unwanted errors. This will enhance future interoperability and decrease incompatibility among different platforms." @default.
- W4283651955 created "2022-06-29" @default.
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- W4283651955 date "2022-05-23" @default.
- W4283651955 modified "2023-09-27" @default.
- W4283651955 title "Challenges of Integrating Machine Vision Algorithms Based on Franca IDL into Adaptive AUTOSAR Environment" @default.
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- W4283651955 doi "https://doi.org/10.23919/mipro55190.2022.9803380" @default.
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