Joint Navigation Method for Unmanned Vehicles Group Located in Different Physical Environments

A method for joint navigation of unmanned vehicles a group located within different physical environments is proposed. The formulation and solution of the problem regarding joint navigation of an unmanned vehicles (UV) group has been provided as follows: a model for integrating navigation information from various sources and meters to develop each device exact positioning has been provided along with an algorithm for estimating coordinates in a plane and directing a device movement with an inertial navigation system. An illustrative example has been given. A virtual training ground with terrain was proposed to simulate the navigation of autonomous unmanned vehicles (AUVs) operating within different environments.

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Publication Details

Published
2024-09-08
DOI
https://doi.org/10.1109/rusautocon61949.2024.10694272
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Joint Navigation Method for Unmanned Vehicles Group Located in Different Physical Environments

Svetlana G. Amosova, O.S. Amosov, Konstantin A. Kulagin
Robotic Path Planning Algorithms
article

Joint Navigation Method for Unmanned Vehicles Group Located in Different Physical Environments

Svetlana G. Amosova, O.S. Amosov, Konstantin A. Kulagin
article en

Abstract

A method for joint navigation of unmanned vehicles a group located within different physical environments is proposed. The formulation and solution of the problem regarding joint navigation of an unmanned vehicles (UV) group has been provided as follows: a model for integrating navigation information from various sources and meters to develop each device exact positioning has been provided along with an algorithm for estimating coordinates in a plane and directing a device movement with an inertial navigation system. An illustrative example has been given. A virtual training ground with terrain was proposed to simulate the navigation of autonomous unmanned vehicles (AUVs) operating within different environments.

V. A. Trapeznikov Institute of Control Sciences (RU)
Russian Science Foundation
Openalex Percentile: Top 83%
Robotic Path Planning Algorithms
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