SUPER RESOLUTION DETECTION METHOD OF MOVING OBJECT BASED ON OPTICAL IMAGE FUSION WITH MMW RADAR

被引：0

作者：

Deng, Zipeng ^{[1
]}

Cui, Zongyong ^{[1
]}

Cao, Zongjie ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

来源：

2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022) | 2022年

基金：

中国国家自然科学基金;

关键词：

millimeter wave radar; computer vision; sensor fusion; DOA; object detection;

D O I：

10.1109/IGARSS46834.2022.9883395

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Due to the defects of millimeter wave (MMW) radar in angle resolution, with the increase of detection distance, the ability of radar to distinguish adjacent objects in azimuth direction will be weakened, resulting in the loss and misestimation of objects information. To solve this problem, radar and optical image object detection methods are fused. The information obtained from the optical image data is used to provide a prior information for radar signal processing algorithm, so as to improve the performance of radar object detection system. Based on the simulations and experiments in a variety of multi-object moving scenes, it shows that the fusion method can improve the detection accuracy of the system and restore the spatial location of the objects more accurately than traditional ways.

引用

页码：1900 / 1903

页数：4

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