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Vehicle Detection With Automotive Radar Using Deep ...

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由 B Major 著作被引用 196 次 — The radar data is a 3D tensor, with the first two dimensions making up range-azimuth (polar) space, and the third Doppler dimension which contains velocity.

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Vehicle Detection With Automotive Radar Using Deep ...

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由 B Major 著作2019被引用 196 次 — In this paper, we demonstrate a deep-learning-based vehicle detection solution which operates on the image-like tensor instead of the point cloud resulted by ...

有關 Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors. 的學術文章
… using deep learning on range-azimuth-doppler tensors - ‎Major - 196 個引述

Vehicle Detection With Automotive Radar Using Deep ...

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Raw ADC signal is converted to range-azimuth-doppler tensor by 3D FFT. The phase information is discarded and only amplitude is feed into the neural network. RA ...

Vehicle Detection With Automotive Radar Using Deep ...

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This paper demonstrates a deep-learning-based vehicle detection solution which operates on the image-like tensor instead of the point cloud resulted by peak ...

Vehicle Detection With Automotive Radar Using Deep ...

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由 B Major 著作2019被引用 196 次 — The radar data is a 3D tensor, with the first two dimensions making up range-azimuth (polar) space, and the third Doppler dimension which contains velocity.

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Vehicle Detection With Automotive Radar Using Deep ...

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Vehicle Detection With Automotive Radar Using Deep ...

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Radars can also deliver accurate velocity estimation for all detected objects depending on the Doppler effect without requiring any temporal information [18]. .

[论文阅读] DAY 1 Vehicle Detection With Automotive Radar ...

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2020年9月10日 — 本文介绍了一种用于无人地面车辆（Unmanned Ground Vehicle, UGV）环境感知系统的多目标检测与速度估计方法。该方法利用汽车雷达提供准确的目标信息。考虑到 ...

【IDPT论文解读】Vehicle Detection With Automotive Radar ...

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2021年10月25日 — 题目：Vehicle Detection With Automotive Radar Using Deep Learning on Range-Azimuth-Doppler Tensors. 作者：Major, Bence；Fontijne, Daniel；Ansari ...