Deep Reinforcement Learning Based Distributed Active Joint Localization and Target Tracking-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Based Distributed Active Joint Localization and Target Tracking

Published:2024-07-10 Issue: Volume: Page:486-491
ISSN:
Container-title:2024 American Control Conference (ACC)
language:
Short-container-title:

Author:

Wang Dongming¹,Su Shaoshu²,Ren Wei¹,Hao Ce³

Affiliation:

1. University of California,Department of Electrical and Computer Engineering,Riverside,CA,USA,92521

2. State University of New York at Buffalo,Department of Computer Science and Engi-neering,NY,USA,14260

3. University of California,Department of Mechanical Engineering,Berkeley,CA,USA,94720

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644155.pdf?arnumber=10644155

Reference29 articles.

1. Consistent unscented incremental smoothing for multi-robot cooperative target tracking

2. Cooperative robot localization and target tracking based on least squares minimization

3. On the Performance of Multi-robot Target Tracking

4. Joint estimation and localization in sensor networks

5. Fully Distributed Joint Localization and Target Tracking With Mobile Robot Networks

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