Task-Oriented Semantic Communication for Hazard Warning and Remote Operation in Connected Vehicle Platoons

2026-09-05

AI Summary

论文提出一种基于语义和任务导向的通信框架，利用SD-VAE压缩并传输任务相关危险信息，以解决车联网中带宽限制下的可靠信息传播问题。

Abstract

Connected and automated vehicle platoons require reliable dissemination of task-relevant hazard information to enable appropriate downstream responses, with unresolved situations additionally requiring remote human intervention. However, the limited channel bandwidth of V2X communication makes high-volume sensor data transmission challenging, motivating the exchange of only task-relevant information rather than raw sensor data. This paper proposes an integrated semantic and task-oriented communication framework for cooperative hazard response and remote operation in automated vehicle platoons. The framework combines onboard instance segmentation and monocular depth estimation for task-oriented hazard decision-making with Stable Diffusion Variational Autoencoder (SD-VAE)-based semantic scene compression. Task-relevant hazard information and the compact semantic representation are jointly disseminated through a broadcast-based Emergency Semantic Message (ESM) over the existing V2X protocol stack. Evaluation demonstrates that SD-VAE consistently outperforms JPEG and JPEG 2000 on task-relevant reconstruction metrics, exhibiting graceful degradation rather than a sharp cliff effect under low-SINR conditions, demonstrating its feasibility for remote scene reconstruction when human intervention is required. Moreover, an extensive campaign of 7,290 simulation runs shows a low overall inter-vehicle collision rate of 0.99%, with collisions occurring mainly under extreme high-speed and short-gap conditions.

Problem

• Task-Oriented Semantic Communication
• Hazard Warning
• Remote Operation
• V2X Communication
• Bandwidth Limitation

Innovation

• Semantic Communication
• Task-Oriented Hazard Response
• Stable Diffusion Variational Autoencoder (SD-VAE)
• Emergency Semantic Message (ESM)