Road Surface Classification Based on Millimeter-Wave Radar Backscatter Measurements-Reference-Cited by-同舟云学术

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Road Surface Classification Based on Millimeter-Wave Radar Backscatter Measurements

Published:2023-07-07 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Ubiquitous Communication (Ucom)
language:
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Author:

Fan Yuxin¹,Qiu Xiaohan¹,Shi Zhiguo¹,Wang Yong¹

Affiliation:

1. College of Information Science and Electronic Engineering, Zhejiang University,Zhejiang,China

Funder

National Key Research and Development Program

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10256667/10257572/10257611.pdf?arnumber=10257611

Reference14 articles.

1. Road condition identification from millimeter-wave radar backscatter measurements

2. Automotive System for Remote Surface Classification

3. Road Surface Classification Based on Radar Imaging Using Convolutional Neural Network

4. Classification of road surface status using a 94 GHz dual-channel polarimetric radiometer

5. Road-Condition Recognition Using 24-GHz Automotive Radar

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