Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicles-Reference-Cited by-同舟云学术

Adaptive and Collaborative Bathymetric Channel-Finding Approach for Multiple Autonomous Marine Vehicles

Published:2023-07 Issue:7 Volume:8 Page:4028-4035
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Gershfeld Nikolai¹^ORCID,Paine Tyler M.²^ORCID,Benjamin Michael R.¹^ORCID

Affiliation:

1. Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

2. Applied Ocean Science and Engineering, Woods Hole Oceanographic Institution, Woods Hole, MA, USA

Funder

U.S. Military Academy

Office of the Undersecretary of Defense for Research and Engineering

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/ielx7/7083369/10128766/10132572.pdf?arnumber=10132572

Reference33 articles.

1. Autonomous & adaptive oceanographic front tracking on board autonomous underwater vehicles

2. Ocean front detection and tracking by an autonomous underwater vehicle

3. A behavior-based approach to adaptive feature detection and following with autonomous underwater vehicles

4. Multi-AUV Control and Adaptive Sampling in Monterey Bay

5. Adaptive collaborative channel finding approaches for autonomous marine vehicles;gershfeld;M S thesis,2022

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