Resource-Efficient Range-Doppler Map Generation Using Deep Learning Network for Automotive Radar Systems-Reference-Cited by-同舟云学术

Resource-Efficient Range-Doppler Map Generation Using Deep Learning Network for Automotive Radar Systems

Published:2023 Issue: Volume:11 Page:55965-55977
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jeong Taewon¹^ORCID,Lee Seongwook²^ORCID

Affiliation:

1. School of Electronics and Information Engineering, College of Engineering, Korea Aerospace University, Deogyang-gu, Gyeonggi-do, Goyang-si, Republic of Korea

2. School of Electrical and Electronics Engineering, College of ICT Engineering, Chung-Ang University, Seoul, Dongjak-gu, Republic of Korea

Funder

nstitute of Information & Communications Technology Planning & Evaluation

Korean Government [Ministry of Science and ICT (MSIT)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10143630.pdf?arnumber=10143630

Reference26 articles.

1. Automotive radars: A review of signal processing techniques

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

3. Smoothing Periodograms from Time-Series with Continuous Spectra

4. An overview of high range resolution radar techniques

5. Image-to-Image Translation with Conditional Adversarial Networks

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