用于汽车泊车辅助的高分辨率毫米波SAR图像

IEEE Journal on Miniaturization for Air and Space Systems Pub Date : 2022-12-06 DOI:10.1109/JMASS.2022.3226771

Gang Xu;Hao Pei;Mengjie Jiang;Jianlai Chen;Hui Wang;Hui Zhang;Yanyang Liu

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引用次数: 0

摘要

毫米波(mmWave)雷达得益于低成本、小体积、高分辨率等特点，已逐步应用于汽车泊车辅助领域。本文提出了一种新的汽车合成孔径雷达(SAR)成像停车位映射算法。然后，采用基于分水岭的SAR图像分割算法对车辆进行检测，并给出空闲停车位的位置;最后，利用77 ghz汽车雷达数据进行了实验分析，验证了该方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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High-Resolution mmWave SAR Imagery for Automotive Parking Assistance

Benefiting from the characteristics of low-cost, small-size, and high-resolution, the millimeter-wave (mmWave) radar has been gradually applied to automotive parking assistance. In this article, a novel algorithm of automotive synthetic aperture radar (SAR) imaging is proposed for the mapping of parking places. To deal with the motion error from the inaccurate speed of the radar platform, a parametric method of sparse Bayesian learning (SBL) is presented for well-focused and high-resolution SAR imaging. Then, a watershed-based SAR image segmentation algorithm is applied to detect the vehicles, which can indicate the locations of free parking spaces. Finally, the experimental analysis using 77-GHz automotive radar data is performed to confirm the effectiveness of the proposal.

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