一种路边精确单眼测量技术,用于车辆到一切 (V2X) 的测量
Peng Sun1, Xingyu Qi1, Ruofei Zhong1
1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
本研究引入了一种自动化系统,用于使用摄像头流和边缘计算精确检测车辆距离. 该技术通过为智能交通和全息交叉路口提供准确的数据来提高交通安全.
科学领域:
- 智能运输系统 智能运输系统
- 计算机视觉用于交通分析.
- 边缘计算应用程序
背景情况:
- 车辆与一切 (V2X) 通信正在进步,需要加强路边传感,以寻找"全息交叉点".
- 准确的实时路边数据对于V2X系统,协作感知和决策至关重要.
- 目前的系统需要改进的方法来精确检测车辆和估计距离.
研究的目的:
- 开发一种自动化方案,使用摄像头视频流来准确检测和警告车辆距离.
- 利用边缘计算和神经网络进行智能路边数据处理.
- 为了在智能运输中提高交通安全,提供厘米级距离精度.
主要方法:
- 使用摄像机视频流进行数据采集.
- 实现了边缘计算单元,用于现场智能处理.
- 通过类似的三角形,使用神经网络模型进行对象识别和距离估计.
- 开发了一个基于估计距离的预警方案.
主要成果:
- 在车辆距离检测中达到厘米级准确度.
- 在实验验证中证明了拟议方案的有效性.
- 展示了系统提供关键交通目标信息的能力.
结论:
- 拟议的自动化车辆距离检测方案显著提高了交通安全.
- 这项技术对于智能互联汽车 (ICV) 和自动驾驶汽车在全息交叉点上实现V2X通信至关重要.
- 该系统为智能运输基础设施中的实时路边数据采集提供了强大的解决方案.
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