雷达与视频融合的交通信息感知技术研究

摘要:

交通信息感知作为交通信息基础设施最为关键的功能之一，可为交通态势预判、信号控制等交通应用场景提供重要的数据与决策支撑，是践行“交通强国”战略的基石。目前，常用交通信息感知手段主要包括地磁线圈、雷达、视频、红外等，但这些单一的交通信息感知设备普遍存在信息感知不全面、精度不高的问题。本文研究基于雷达与视频融合的交通信息感知技术，将毫米波雷达和视觉传感器两者的检测数据有机融合，从而实现大范围、精准而全面的交通信息感知，以期为交通的智能化、信息化发展奠定基础。

Abstract:

As one of the most critical functions of traffic information infrastructure, traffic information perception can provide important data and decision support for traffic application scenarios such as traffic situation prediction, traffic signal control, etc., and it is the cornerstone of implementing the strategy of building a leading transportation nation. At present, the common means of traffic information perception mainly include geomagnetic coil, radar, camera, infrared and so on. However, these single traffic information perception devices generally have the problems of incomplete information perception and low accuracy. This paper studies the traffic information perception technology based on the fusion of radar and camera, and organically integrates the detection data of millimeter wave radar and visual sensor, so as to realize large-scale, accurate and comprehensive traffic information perception, in order to lay the foundation for the development of traffic intelligence and informatization.