Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study-Reference-Cited by-同舟云学术

Toward Ant-Sized Moving Object Localization Using Deep Learning in FMCW Radar: A Pilot Study

Published:2022 Issue: Volume:60 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Kumchaiseemak Nakorn¹,Chatnuntawech Itthi²^ORCID,Teerapittayanon Surat²,Kotchapansompote Palakon¹,Kaewlee Thitikorn³^ORCID,Piriyajitakonkij Maytus⁴^ORCID,Wilaiprasitporn Theerawit³^ORCID,Suwajanakorn Supasorn¹

Affiliation:

1. Vision and Learning Laboratory, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand

2. National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park (TSP), Pathum Thani, Thailand

3. Bio-Inspired Robotics and Neural Engineering Laboratory, School of Information Science and Technology, Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand

4. Department of Computing, Imperial College London, London, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09761934.pdf?arnumber=9761934

Reference53 articles.

1. A Deep Learning Approach for Automotive Radar Interference Mitigation

2. Indoor Person Identification Using a Low-Power FMCW Radar

3. Interacting with Soli

4. SleepPoseNet: Multi-View Learning for Sleep Postural Transition Recognition Using UWB

5. Radar-based human activity recognition with 1-D dense attention network;lai;IEEE Geosci Remote Sens Lett,2021

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