Real-Time Semantic Communication System for Remote Driving

This paper introduces a real-time semantic communication system for remote driving, addressing the challenges of video transmission over constrained and fluctuating wireless communication links. Instead of transmitting raw video streams, the proposed system extracts and transmits compact semantic<br/>representations, significantly reducing bandwidth requirements while preserving task-relevant visual information. An end-to end semantic encoding-decoding pipeline enables low latency operator-view reconstruction with low latency, improving robustness without relying on high-throughput links. Implemented and evaluated on the real-time prototype, the proposed system demonstrates the practicality of semantic communication for enhancing responsiveness and reliability in remote driving scenarios.

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Publication Details

Journal
Pure (Coventry University)
Published
2026-02-13
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Real-Time Semantic Communication System for Remote Driving

Jianhang Tang, Yangfei Lin, Soufiene; id_orcid 0000-0002-1286-7037 Djahel, Lei Zhong et al.
Pure (Coventry University)
Vehicular Ad Hoc Networks (VANETs)
article

Real-Time Semantic Communication System for Remote Driving

Jianhang Tang, Yangfei Lin, Soufiene; id_orcid 0000-0002-1286-7037 Djahel, Lei Zhong, Celimuge Wu
article en

Abstract

This paper introduces a real-time semantic communication system for remote driving, addressing the challenges of video transmission over constrained and fluctuating wireless communication links. Instead of transmitting raw video streams, the proposed system extracts and transmits compact semantic<br/>representations, significantly reducing bandwidth requirements while preserving task-relevant visual information. An end-to end semantic encoding-decoding pipeline enables low latency operator-view reconstruction with low latency, improving robustness without relying on high-throughput links. Implemented and evaluated on the real-time prototype, the proposed system demonstrates the practicality of semantic communication for enhancing responsiveness and reliability in remote driving scenarios.

Pure (Coventry University)
Guizhou University (CN), University of Electro-Communications (JP), Future Cities Catapult (United Kingdom) (GB), Toyota Motor Corporation (Japan) (JP)
Openalex Percentile: Top 41%
Vehicular Ad Hoc Networks (VANETs)
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