Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges-Reference-Cited by-同舟云学术

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Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

Published:2021-07-01 Issue:7 Volume:36 Page:80-93
ISSN:0885-8985
Container-title:IEEE Aerospace and Electronic Systems Magazine
language:
Short-container-title:IEEE Aerosp. Electron. Syst. Mag.

Author:

Blasch Erik¹,Pham Tien²,Chong Chee-Yee³,Koch Wolfgang⁴,Leung Henry⁵,Braines Dave⁶,Abdelzaher Tarek⁷

Affiliation:

1. Air Force Office of Scientific Research, Arlington, VA, USA

2. Army Research Laboratory, Adelphi, MD, USA

3. Independent Consultant, San Jose, CA, USA

4. Fraunhofer FKIE, Wachtberg, Germany

5. University of Calgary, Calgary, Canada

6. IBM, Hants, U.K.

7. University of Illinois at Urbana-Champaign, Urbana, IL, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/62/9475847/09475913.pdf?arnumber=9475913

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