AquaHet-PSO: An Informative Path Planner for a Fleet of Autonomous Surface Vehicles With Heterogeneous Sensing Capabilities Based on Multi-Objective PSO
Author:
Affiliation:
1. Departamento de Ingeniería, Universidad Loyola Andalucía, Seville, Spain
2. Departamento de Ingeniería Electrónica, Universidad de Sevilla, Seville, Spain
Funder
Ministerio de Ciencia e Innovación
ECOPORT
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10274071.pdf?arnumber=10274071
Reference40 articles.
1. Orienteering-based informative path planning for environmental monitoring
2. An Introduction to Genetic Algorithms
3. An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles
4. Adaptive-Resolution Field Mapping Using Gaussian Process Fusion With Integral Kernels
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1. AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning;Ocean Engineering;2024-11
2. An Improved NSGA-II Algorithm for MASS Autonomous Collision Avoidance under COLREGs;Journal of Marine Science and Engineering;2024-07-20
3. Decoupling Patrolling Tasks for Water Quality Monitoring: A Multi-Agent Deep Reinforcement Learning Approach;IEEE Access;2024
4. Adaptive Sampling of a Stationary Gaussian Spatial Process by a Team of Robots With Heterogeneous Dynamics and Measurement Noise Variance;IEEE Access;2024
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