走向智能道路:将移动网络中的传感和通信结合起来
Elisabetta Matricardi1,2, Elia Favarelli1,2, Lorenzo Pucci1,2
1Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi" (DEI), University of Bologna, 40126 Bologna, Italy.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
联合传感和通信 (JSC) 通过实现合作传感和高效资源管理来增强车辆系统. 人工智能驱动的目标识别进一步优化了连接运输网络的性能.
科学领域:
- 电信工程 电信工程 电信工程
- 人工智能的人工智能
- 运输系统 运输系统
背景情况:
- 联合传感和通信 (JSC) 是6G网络的关键技术,提供更高的效率和新的服务.
- 车辆技术和运输系统是JSC未经探索但有前途的应用领域.
研究的目的:
- 探索JSC在车辆技术和运输系统中的作用和应用.
- 在JSC框架内提出用于车辆环境的数据融合,资源管理和基于AI的目标识别的新方法.
主要方法:
- 讨论了用于网络合作传感的数据融合技术.
- 解决了资源管理策略,以平衡传感和通信需求.
- 针对车辆扩展目标提出基于人工智能的目标识别.
- 开发了一个计算可行的框架来建模扩展目标.
- 介绍了关于车辆场景的案例研究.
主要成果:
- 证明了在联网车辆环境中合作传感的可行性.
- 展示了基于AI的目标识别对优化跟踪和资源分配的有效性.
- 在现实世界的车辆场景中验证了通过集成的JSC概念可以实现的高传感和通信性能.
结论:
- JSC是未来车辆和运输系统的变革性技术.
- 集成的人工智能和先进的数据融合技术显著提高了JSC在互联汽车中的性能.
- 拟议的框架和案例研究证实了JSC对智能运输的实际应用性和好处.
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