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Abstract: A three dimensional localisation algorithm for a swarm of underwater vehicles is presented. The proposed approach is grounded on an extended ...
A three dimensional localisation algorithm for a swarm of underwater vehicles is presented. The proposed approach is grounded on an extended Kalman filter ...
A three dimensional localisation algorithm for a swarm of underwater vehicles is presented. The proposed approach is grounded on an extended Kalman filter (EKF) ...
The proposed approach is grounded on an extended Kalman filter (EKF) scheme used to fuse some proprioceptive data such as the vessel's speed and some ...
Jul 27, 2015 · In this work two different approaches for robot localization in a swarm of underwater vehicles are compared: one based on Kalman filtering and ...
PDF | Two three-dimensional localization algorithms for a swarm of underwater vehicles are presented. The first is grounded on an extended Kalman filter.
Missing: Localisation | Show results with:Localisation
Underwater robot localization methods in confined environments can typically be categorized into three fundamental approaches: SINS (Inertial Navigation ...
Abstract—The use of swarms of Autonomous Underwater. Vehicles (AUVs) for environmental monitoring operations could provide important data about pollution, ...
Mar 30, 2024 · This study goes into the field of underwater target localization using Recurrent Neural Networks (RNNs) enhanced with proximity-based approaches ...
Missing: Localisation | Show results with:Localisation
Invariant Extended Kalman Filtering for Underwater Navigation
frostlab.byu.edu › inekf-underwater-pdf
Jun 14, 2021 · These methods can be broken into three groups: filtering-based, direct-position measurement-based, and mapping-based. Filtering-based ...
Missing: Swarms | Show results with:Swarms