FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks

Xinghao Lai; Leyuan Zhang; Zhaohui Li; Yaxi Yan; Changyuan Yu; Jing Wang; Lin Sun; Gordon Ning Liu

doi:10.1109/WF-IoT64238.2025.11270769

FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks

Xinghao Lai
, Leyuan Zhang
, Zhaohui Li
, Yaxi Yan
, Changyuan Yu
, Jing Wang
, Lin Sun
, Gordon Ning Liu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

By expounding the evolution of automotive electronic and electrical architecture (EEA), combined with the quantitative analysis of bandwidth demands for autonomous driving, this paper systematically analyzes the challenges and opportunities faced by intra-vehicle networks (IVNs) with the wave of intelligence transformation in the automotive industry. Then the paper explores the advantages of intra-vehicle optical networks (IVONs) and proposes an FPGA-GPU heterogeneous platform based IVON. Furthermore, it validates the effectiveness of specific signal transmission schemes through experiments, providing theoretical support and practical references for the further development and widespread application of IVONs.

Original language	English
Title of host publication	2025 IEEE World Forum on Internet of Things, WF-IoT 2025 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
Edition	2025
ISBN (Electronic)	9798331515225
DOIs	https://doi.org/10.1109/WF-IoT64238.2025.11270769
Publication status	Published - Dec 2025
Event	11th IEEE World Forum on Internet of Things, WF-IoT 2025 - Chengdu, China Duration: 27 Oct 2025 → 30 Oct 2025

Conference

Conference	11th IEEE World Forum on Internet of Things, WF-IoT 2025
Country/Territory	China
City	Chengdu
Period	27/10/25 → 30/10/25

Keywords

Autonomous driving
Electronic and electrical architecture
Equalization
Intra-vehicle network
Low latency
Optical transmission

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Hardware and Architecture
Information Systems
Information Systems and Management
Control and Optimization

More information

10.1109/WF-IoT64238.2025.11270769

Cite this

Lai, X., Zhang, L., Li, Z., Yan, Y., Yu, C., Wang, J., Sun, L., & Liu, G. N. (2025). FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks. In 2025 IEEE World Forum on Internet of Things, WF-IoT 2025 - Proceedings (2025 ed., pp. 1-6). Article 11270769 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WF-IoT64238.2025.11270769

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abstract = "By expounding the evolution of automotive electronic and electrical architecture (EEA), combined with the quantitative analysis of bandwidth demands for autonomous driving, this paper systematically analyzes the challenges and opportunities faced by intra-vehicle networks (IVNs) with the wave of intelligence transformation in the automotive industry. Then the paper explores the advantages of intra-vehicle optical networks (IVONs) and proposes an FPGA-GPU heterogeneous platform based IVON. Furthermore, it validates the effectiveness of specific signal transmission schemes through experiments, providing theoretical support and practical references for the further development and widespread application of IVONs.",

keywords = "Autonomous driving, Electronic and electrical architecture, Equalization, Intra-vehicle network, Low latency, Optical transmission",

author = "Xinghao Lai and Leyuan Zhang and Zhaohui Li and Yaxi Yan and Changyuan Yu and Jing Wang and Lin Sun and Liu, \{Gordon Ning\}",

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doi = "10.1109/WF-IoT64238.2025.11270769",

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Lai, X, Zhang, L, Li, Z, Yan, Y, Yu, C, Wang, J, Sun, L & Liu, GN 2025, FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks. in 2025 IEEE World Forum on Internet of Things, WF-IoT 2025 - Proceedings. 2025 edn, 11270769, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 11th IEEE World Forum on Internet of Things, WF-IoT 2025, Chengdu, China, 27/10/25. https://doi.org/10.1109/WF-IoT64238.2025.11270769

FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks. / Lai, Xinghao; Zhang, Leyuan; Li, Zhaohui et al.
2025 IEEE World Forum on Internet of Things, WF-IoT 2025 - Proceedings. 2025. ed. Institute of Electrical and Electronics Engineers Inc., 2025. p. 1-6 11270769.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Zhang, Leyuan

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AU - Yan, Yaxi

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AU - Wang, Jing

AU - Sun, Lin

AU - Liu, Gordon Ning

PY - 2025/12

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AB - By expounding the evolution of automotive electronic and electrical architecture (EEA), combined with the quantitative analysis of bandwidth demands for autonomous driving, this paper systematically analyzes the challenges and opportunities faced by intra-vehicle networks (IVNs) with the wave of intelligence transformation in the automotive industry. Then the paper explores the advantages of intra-vehicle optical networks (IVONs) and proposes an FPGA-GPU heterogeneous platform based IVON. Furthermore, it validates the effectiveness of specific signal transmission schemes through experiments, providing theoretical support and practical references for the further development and widespread application of IVONs.

KW - Autonomous driving

KW - Electronic and electrical architecture

KW - Equalization

KW - Intra-vehicle network

KW - Low latency

KW - Optical transmission

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DO - 10.1109/WF-IoT64238.2025.11270769

M3 - Conference article published in proceeding or book

AN - SCOPUS:105032629142

SP - 1

EP - 6

BT - 2025 IEEE World Forum on Internet of Things, WF-IoT 2025 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE World Forum on Internet of Things, WF-IoT 2025

Y2 - 27 October 2025 through 30 October 2025

ER -

FPGA-GPU Heterogeneous Platform Based Intra-Vehicle Optical Networks

Abstract

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Keywords

ASJC Scopus subject areas

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