A Comparison of Intelligent Models for Collision Avoidance Path Planning on Environmentally Propelled Unmanned Surface Vehicles

A Comparison of Intelligent Models for Collision Avoidance Path Planning on Environmentally Propelled Unmanned Surface Vehicles

Unmanned surface vehicles (USVs) are increasingly used for ocean missions and services aimed for safer, more efficient, and sustainable routine operations. Path planning is a key component of autonomy addressed to obstacle detection and avoidance. As a multi-optimization nonlinear problem, it should...

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Bibliographic Details
Main Authors: Carlos Barrera, Mustapha Maarouf, Francisco Campuzano, Octavio Llinas, Graciliano Nicolas Marichal
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Journal of Marine Science and Engineering
Subjects:
unmanned surface vehicles (USV)
obstacle avoidance (OA)
path planning (PP)
artificial neural network (ANN)
random forest (RF)
multiple logistic regressor (MLR)
Online Access:https://www.mdpi.com/2077-1312/11/4/692

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https://www.mdpi.com/2077-1312/11/4/692

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