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Jul, 2024
从距离-多普勒图像中改进追踪的机器学习模型
Machine Learning Models for Improved Tracking from Range-Doppler Map Images
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Elizabeth Hou, Ross Greenwood, Piyush Kumar
TL;DR
提出了用于地面运动目标指示器雷达中距离-多普勒图像的目标检测和不确定性估计的新型机器学习模型，通过使用这些模型的输出，显著提高了复杂多目标空对地跟踪场景中多假设跟踪器的性能。
Abstract
statistical tracking filters
depend on accurate
target measurements
and
uncertainty estimates
for good tracking performance. In this work,
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