Terrain‐aided navigation for long‐endurance and deep‐rated autonomous underwater vehicles-Reference-Cited by-同舟云学术

Terrain‐aided navigation for long‐endurance and deep‐rated autonomous underwater vehicles

Published:2018-11-08 Issue: Volume: Page:
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J Field Robotics

Author:

Salavasidis Georgios¹^ORCID,Munafò Andrea¹^ORCID,Harris Catherine A.¹,Prampart Thomas¹,Templeton Robert¹,Smart Micheal¹,Roper Daniel T.¹,Pebody Miles¹,McPhail Stephen D.¹,Rogers Eric²,Phillips Alexander B.¹^ORCID

Affiliation:

1. Marine Autonomous and Robotic SystemsNational Oceanography CentreSouthampton UK

2. Department of Electronics and Computer ScienceUniversity of SouthamptonSouthampton UK

Funder

DynOPO-Funder NERC (UK)

Oceanids-Funder ISCF/NERC (UK)

EU FP-7 ROBOCADEMY

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21832

Reference57 articles.

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3. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

4. British Antarctic Survey. (2017). Dynamics of the orkney passage (DynOPO). Retrieved fromhttps://www.bas.ac.uk/project/dynamics-of-the-orkney-passage-outflow/. Accessed October 24 2017.

5. Physical Characterization of Acoustic Communication Channel Properties in Underwater Mobile Sensor Networks

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