Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems
Fuente:
arXiv
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| Autores principales: | , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912566987456512 |
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| author | Sun, Chen Zhang, Wenqi Wang, Bizhu Xu, Xiaodong Yuen, Chau Zhang, Yan Zhang, Ping |
| author_facet | Sun, Chen Zhang, Wenqi Wang, Bizhu Xu, Xiaodong Yuen, Chau Zhang, Yan Zhang, Ping |
| contents | In current vehicle-to-everything (V2X) communication systems, roadside units (RSUs) broadcast brief warning messages that alert nearby vehicles to avoid potential hazards. However, these messages lack contextual information on why a warning is issued, leading to excessive caution or inefficient driving behaviors. To avoid such a situation, we propose a semantic-enhanced and explainable V2X (SEE-V2X) system. In the proposed system, RSUs equipped with smart cameras detect obstructions and transmit context-aware messages to vehicles. By understanding both what the hazard is and why it occurs, drivers can make more intelligent decisions based on their specific driving situation. Furthermore, through a real-field demonstration, we show the new "see-through" feature in the proposed system, which enables drivers to visualize hidden pedestrians behind obstacles. We also perform simulations to compare traditional V2X with SEE-V2X under different traffic conditions. The results show that SEE-V2X significantly improves traffic efficiency and reduces unnecessary deceleration. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_02442 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems Sun, Chen Zhang, Wenqi Wang, Bizhu Xu, Xiaodong Yuen, Chau Zhang, Yan Zhang, Ping Signal Processing Human-Computer Interaction In current vehicle-to-everything (V2X) communication systems, roadside units (RSUs) broadcast brief warning messages that alert nearby vehicles to avoid potential hazards. However, these messages lack contextual information on why a warning is issued, leading to excessive caution or inefficient driving behaviors. To avoid such a situation, we propose a semantic-enhanced and explainable V2X (SEE-V2X) system. In the proposed system, RSUs equipped with smart cameras detect obstructions and transmit context-aware messages to vehicles. By understanding both what the hazard is and why it occurs, drivers can make more intelligent decisions based on their specific driving situation. Furthermore, through a real-field demonstration, we show the new "see-through" feature in the proposed system, which enables drivers to visualize hidden pedestrians behind obstacles. We also perform simulations to compare traditional V2X with SEE-V2X under different traffic conditions. The results show that SEE-V2X significantly improves traffic efficiency and reduces unnecessary deceleration. |
| title | Know What, Know Why: Semantic Hazard Communication for Intelligent V2X Systems |
| topic | Signal Processing Human-Computer Interaction |
| url | https://arxiv.org/abs/2509.02442 |