使用iot传感器融合和v2v相互作用检测粗略道路指数的方法,以实现高效的道路基础设施管理
Akhilesh Kumar Singh1, Damodar Reddy Edla1
1CSE, NIT Goa, Cuncolim, Goa, India.
MethodsX
|July 14, 2025
概括
本研究介绍了一种物联网多传感器融合硬件模型,用于实时评估道路状况. 它通过使用先进的传感器融合和V2V通信来识别干净或粗的路面来提高运输安全和效率.
科学领域:
- 智能运输系统 智能运输系统
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 传感器融合技术 传感器融合技术
背景情况:
- 现代运输系统需要提高效率,安全和道路质量评估.
- 车辆对车辆 (V2V) 通信对于先进的导航和安全功能至关重要.
研究的目的:
- 提出一种基于物联网的多传感器融合硬件模型,用于实时识别路面状况.
- 通过集成的物联网和传感器融合技术来提高道路安全和导航.
主要方法:
- 物联网 (IoT) 技术和传感器融合的整合.
- 使用车辆对车辆 (V2V) 通信与专用短距离通信 (DSRC).
- 开发一个结合LiDAR,加速度计和超声波传感器的多传感器融合硬件模型.
主要成果:
- 实时收集和处理路面数据.
- 路面的分类"干净" (平坦) 或"粗" (凸) 类别,基于光滑度指数.
- 成功地识别了道路异常的高精度.
结论:
- 拟议的物联网多传感器融合模型为智能运输系统提供了一种新的方法.
- 该系统显著改善了道路安全和导航,特别是对于自动驾驶汽车.
- 这种方法解决了高精度道路异常检测现有的差距.
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