[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Sun et al., 2020 - Google Patents

AUV 3D path planning based on the improved hierarchical deep Q network

Sun et al., 2020

View HTML
Document ID
1722005824603902099
Author
Sun Y
Ran X
Zhang G
Xu H
Wang X
Publication year
Publication venue
Journal of marine science and engineering

External Links

Snippet

This study proposed the 3D path planning of an autonomous underwater vehicle (AUV) by using the hierarchical deep Q network (HDQN) combined with the prioritized experience replay. The path planning task was divided into three layers, which realized the …
Continue reading at www.mdpi.com (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/18—Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Sun et al. AUV 3D path planning based on the improved hierarchical deep Q network
Xia et al. Multiple task assignment and path planning of a multiple unmanned surface vehicles system based on improved self-organizing mapping and improved genetic algorithm
Xu et al. Complete coverage path planning of an unmanned surface vehicle based on a complete coverage neural network algorithm
Ru et al. A bounded near-bottom cruise trajectory planning algorithm for underwater vehicles
Long et al. Local path planning with multiple constraints for USV based on improved bacterial foraging optimization algorithm
Wei et al. Autonomous path planning of AUV in large-scale complex marine environment based on swarm hyper-heuristic algorithm
Xue et al. Identification and prediction of ship maneuvering motion based on a Gaussian process with uncertainty propagation
Ru et al. A multi-AUV path planning system based on the omni-directional sensing ability
Huang et al. A usv-uav cooperative trajectory planning algorithm with hull dynamic constraints
Yao et al. Bilevel optimization-based time-optimal path planning for AUVs
Li et al. Optimized APF-ACO algorithm for ship collision avoidance and path planning
Ma et al. Adaptive navigation algorithm with deep learning for autonomous underwater vehicle
Sun et al. An Intelligent Algorithm for USVs Collision Avoidance Based on Deep Reinforcement Learning Approach with Navigation Characteristics
Lisowski Artificial intelligence methods in safe ship control based on marine environment remote sensing
Shi et al. Dynamic target tracking of autonomous underwater vehicle based on deep reinforcement learning
Lin et al. PSO-Based Predictive PID-Backstepping Controller Design for the Course-Keeping of Ships
Yu et al. End-to-end AUV motion planning method based on soft actor-critic
Qu et al. A Deep Reinforcement Learning-Based Path-Following Control Scheme for an Uncertain Under-Actuated Autonomous Marine Vehicle
He et al. A Novel Algorithm for Ship Route Planning Considering Motion Characteristics and ENC Vector Maps
Zhuang et al. A locking sweeping method based path planning for unmanned surface vehicles in dynamic maritime environments
Huang et al. Multi-Objective Path Planning of Autonomous Underwater Vehicles Driven by Manta Ray Foraging
Tian et al. Machine learning for short-term prediction of ship motion combined with wave input
Li et al. An environmental perception framework for robotic fish formation based on machine learning methods
Mu et al. A Variational Bayesian-Based Simultaneous Localization and Mapping Method for Autonomous Underwater Vehicle Navigation
Hu et al. Collaborative search and target capture of AUV formations in obstacle environments