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The study aims to consolidate key technologies and applications in semantic communication within vehicular networks.

July 8, 2026VehiclesOpen Access

A Survey on Key Technologies and Applications of Semantic Communication for Vehicular Networks

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Survey summarizes advances in semantic communication to enhance communication in intelligent connected vehicles, indicating future trends.

The study aims to consolidate key technologies and applications in semantic communication within vehicular networks.
Systematic review of semantic communication technology in IoV.
Analysis of key technological advancements like multimodal fusion and deep reinforcement learning.
Evaluation of application practices in autonomous driving and vehicle-to-infrastructure coordination.
Semantic communication can compress image data transmission significantly while retaining high fidelity under adverse conditions.
Improved system utility and reduced communication load in vehicle-to-infrastructure coordination.
Future evolution towards integration with collaborative knowledge networks and 6G technologies.

Zhong et al. (2026) studied this question.

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Survey summarizes advances in semantic communication to enhance communication in intelligent connected vehicles, indicating future trends.