基于雷达与视频融合的交通信息感知技术研究

Xingyu Zhang, L. Guo, Weiwei Meng
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引用次数: 0

摘要

交通信息感知是交通信息基础设施最关键的功能之一,可为交通态势预测、信号控制等交通应用场景提供必要的数据和决策支持。目前,常见的交通信息感知手段主要有地磁线圈、雷达、视频、红外等,但这些单一的交通信息感知设备普遍缺乏全面的信息感知和较高的精度。本文研究了基于雷达和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的检测数据有机地融合在一起。实现大规模、准确、全面的交通信息感知,为交通智能化、信息化的发展奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research On Traffic Information Perception Technology Based On Radar And Video Fusion
As one of the most critical functions of traffic information infrastructure, traffic information perception could provide essential data and decision-making support for traffic application scenarios such as traffic situation prediction and signal control. Currently, the common traffic information perception means mainly include geomagnetic coil, radar, video, infrared, etc., but these single traffic information perception devices generally lack of comprehensive information perception and high accuracy. In this paper, the traffic information perception technology based on the radar and video fusion is investigated, which organically integrates the detection data of millimeter wave radar and visual sensors. A large-scale, accurate and comprehensive traffic information perception is realized with the purpose of establishing the foundation for the development of intelligent and informative traffic.
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