Learning Fluid Flow Visualizations From In-Flight Images With Tufts-Reference-Cited by-同舟云学术

Learning Fluid Flow Visualizations From In-Flight Images With Tufts

Published:2023-06 Issue:6 Volume:8 Page:3677-3684
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Lee Jongseok¹^ORCID,Olsman W.F.J.²,Triebel Rudolph¹^ORCID

Affiliation:

1. Institute of Robotics and Mechatronics, German Aerospace Center (DLR), Weßling, Germany

2. Institute of Aerodynamics and Flow Technology, German Aerospace Center (DLR), Braunschweig, Germany

Funder

Helmholtz Artificial Intelligence Cooperation Unit

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10102643/10109020.pdf?arnumber=10109020

Reference29 articles.

1. Estimating model uncertainty of neural networks in sparse information form;lee;Proc Int Conf Mach Learn,0

2. Weakly-Supervised Salient Object Detection via Scribble Annotations

3. DLR HABLEG–high altitude balloon launched experimental glider;wlach;Proc 22nd Symp Eur Rocket Balloon Programmes Res,0

4. D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

5. Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency

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