A Protocol-Agnostic and Automated Approach to Bi-directional Inter-Domain Communication in Software-Defined Vehicles

Abstract Software-defined vehicles (SDVs) are rapidly emerging as a technology enabler in the modern automotive industry, relying on centralized high-performance computing platforms where different vehicular domains are consolidated. This shift necessitates seamless inter-domain communication, especially between in-vehicle infotainment (IVI) and advanced driver assistance systems (ADAS) domains. However, enabling communication between such distinct domains presents challenges. The ADAS domain typically uses AUTOSAR, while the IVI domain uses Android, each with distinct communication protocols, interface definition languages (IDLs), and programming languages. Such heterogeneity creates complexities in protocol compatibility, IDL translation, and language binding. To address such problems, recent research has explored inter-domain communication. However, existing solutions are predominantly unidirectional, focusing on scenarios where IVI domain clients communicate with ADAS domain servers. In this paper, we propose an automated approach to bidirectional inter-domain communication, addressing the limitations of traditional approaches. Our approach is based on three key strategies: adoption of CommonAPI, automated IDL translation, and automated gateway implementation. We validate our approach through experiments on a multi-domain vehicle computer setup. Our approach significantly simplifies the development process, enhancing flexibility and reducing integration complexities in SDV development. This streamlines overall system development and maintenance and accelerates the adoption of SDV technology in the automotive industry.

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Publication Details

Journal
International Journal of Automotive Technology
Published
2026-01-29
DOI
https://doi.org/10.1007/s12239-025-00375-w
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

A Protocol-Agnostic and Automated Approach to Bi-directional Inter-Domain Communication in Software-Defined Vehicles

Woobean Seo, Seongsoo Hong, Namcheol Lee, Saehwa Kim
International Journal of Automotive Technology
Vehicular Ad Hoc Networks (VANETs)
article

A Protocol-Agnostic and Automated Approach to Bi-directional Inter-Domain Communication in Software-Defined Vehicles

Woobean Seo, Seongsoo Hong, Namcheol Lee, Saehwa Kim
article en

Abstract

Abstract Software-defined vehicles (SDVs) are rapidly emerging as a technology enabler in the modern automotive industry, relying on centralized high-performance computing platforms where different vehicular domains are consolidated. This shift necessitates seamless inter-domain communication, especially between in-vehicle infotainment (IVI) and advanced driver assistance systems (ADAS) domains. However, enabling communication between such distinct domains presents challenges. The ADAS domain typically uses AUTOSAR, while the IVI domain uses Android, each with distinct communication protocols, interface definition languages (IDLs), and programming languages. Such heterogeneity creates complexities in protocol compatibility, IDL translation, and language binding. To address such problems, recent research has explored inter-domain communication. However, existing solutions are predominantly unidirectional, focusing on scenarios where IVI domain clients communicate with ADAS domain servers. In this paper, we propose an automated approach to bidirectional inter-domain communication, addressing the limitations of traditional approaches. Our approach is based on three key strategies: adoption of CommonAPI, automated IDL translation, and automated gateway implementation. We validate our approach through experiments on a multi-domain vehicle computer setup. Our approach significantly simplifies the development process, enhancing flexibility and reducing integration complexities in SDV development. This streamlines overall system development and maintenance and accelerates the adoption of SDV technology in the automotive industry.

International Journal of Automotive Technology
Seoul National University (KR), Hankuk University of Foreign Studies (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 74%
Vehicular Ad Hoc Networks (VANETs)
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