Low-Altitude Radar Track Filtering and Classification Using Deep Learning-Reference-Cited by-同舟云学术

Low-Altitude Radar Track Filtering and Classification Using Deep Learning

Published:2021-01-04 Issue: Volume: Page:
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Container-title:AIAA Scitech 2021 Forum
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Author:

Emshoff Brandon L.¹,McCrink Matthew¹,Gregory James W.¹

Affiliation:

1. Ohio State University

Publisher

American Institute of Aeronautics and Astronautics

Reference22 articles.

1. Kopardekar, P., Rios, J., Prevot, T., Johnson, M., Jung, J., Robinson, J.E. "Unmanned Aircraft System Traffic Management (UTM) Concept of Operations," NASA Report ARC-E-DAA-TN32838, 13June 2016. http://hdl.handle.net/2060/20190000370

2. Martin, L., Wolter, C., Jobe, K., Homola, J., Cencetii, M., Dao, Q., Mercer, J. "TCL3 UTM (UAS Traffic Management) Flight Tests, Airspace Operations Laboratory (AOL) Report," NASA Report NASA/TM-2019-220347, Dec. 2020. http://hdl.handle.net/2060/20200000286

3. Martin, L., Wolter, C., Jobe, K., Goodyear, M., Manzano, M., Cencetti, M., Mercer, J., Homola, J. "TCL4 UTM (UAS Traffic Management) Texas 2019 Flight Tests, Airspace Operations Laboratory (AOL) Report," NASA Report NASA/TM-2020-220516, March 2020.

4. Vision-Based Detection and Tracking of Airborne Obstacles in a Cluttered Environment

5. Persistent Aerial Tracking system for UAVs

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