雷达与视频融合的复杂环境目标检测方法

Complex Environment Target Detection Method Based on Radar and Video Fusion

提出了一种将优化雷达点迹关联和雷达信息与相机图像信息融合决策的方法。使用微波雷达和可变焦相机,从带有噪声的原始雷达数据中提取出有效的目标信号,利用齐次坐标表示投影方程,实现雷达-视觉数据空间对齐,利用雷达点投影影响视觉ROI检测框的位置。实验结果表明,相对于传统方法,对于复杂环境中的目标融合,本文提出的方法融合检测成功率提升了1.5%~5.7%,在获取更精确目标属性的同时消除了环境杂波干扰。

In the paper,a method of optimizing radar plot correlation and fusion decision of radar information and camera image information is proposed.Microwave radar and zoom camera are used to extract effective target signals from raw radar data with noise.Projection equations are expressed in homogeneous coordinates to achieve radar visual data space alignment.Radar point projection is used to affect the position of visual ROI detection frame.The experiment results show that,for target fusion in complex environment,the fusion detection method proposed in this paper improves the fusion detection success rate by 1.5%~5.7%compared with traditional methods,and can obtain more accurate target attributes while reducing more environmental clutter interference.