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Design Automation Challenges for Automotive Systems

Published:12 March 2024Publication History

ABSTRACT

As vehicular technology advances, vehicles become more connected and autonomous. Connectivity provides the capability to exchange information between vehicles, and autonomy provides the capability to make decisions and control each vehicle precisely. Connectivity and autonomy realize many evolutional applications, such as intelligent intersection management and cooperative adaptive cruise control. Electric vehicles are sometimes combined to create more use cases and business models. However, these intelligent features make the design process more complicated and challenging. In this talk, we introduce several examples of automotive design automation, which is required to improve the design quality and facilitate the design process. We mainly discuss the rising incompatibility issue, where different original equipment manufacturers and suppliers are developing systems, but the designs are confidential and thus incompatible with other players' designs. The incompatibility issue is especially critical with autonomous vehicles because no human driver resolves incompatible scenarios. We believe that techniques and experiences in electronic design automation can provide insights and solutions to automotive design automation.

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      • Published in

        cover image ACM Conferences
        ISPD '24: Proceedings of the 2024 International Symposium on Physical Design
        March 2024
        286 pages
        ISBN:9798400704178
        DOI:10.1145/3626184

        Copyright © 2024 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 12 March 2024

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        Overall Acceptance Rate62of172submissions,36%
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