Target Pose Estimation using Fused Radio Frequency Data within Ensembled Neural Networks-Reference-Cited by-同舟云学术

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Target Pose Estimation using Fused Radio Frequency Data within Ensembled Neural Networks

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Radar Conference (RadarConf22)
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Author:

Vernetti Andrew¹,Scarnati Theresa²,Mulligan Maura¹,Paulson Christopher²,Vela Russell¹

Affiliation:

1. US Army Space and Missile Defense Command Redstone,Concepts Analysis Division,Arsenal,AL,USA

2. Qualis Corporation,Huntsville,AL,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9764147/9763897/09764301.pdf?arnumber=9764301

Reference25 articles.

1. Pose estimation of artificial knee implants in fluoroscopy images using a template matching technique

2. Segmentation, classification, and pose estimation of military vehicles in low resolution laser radar images;neulist;Laser Radar Technology and Applications XII,2005

3. Feature space trajectory for distorted-object classification and pose estimation in synthetic aperture radar

4. Using glint to perform geometric signature prediction and pose estimation

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recognition of Targets in SAR Images Based on a WVV Feature Using a Subset of Scattering Centers;Sensors;2022-11-05

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