[go: up one dir, main page]

Zhu et al., 2024 - Google Patents

Path planning of USV based on improved PRM under the influence of ocean current

Zhu et al., 2024

Document ID
6997458195799282790
Author
Zhu T
Xiao Y
Zhang H
Publication year
Publication venue
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment

External Links

Snippet

Multi-extensibility and flexibility of unmanned surface vehicles (USVs) allow them perform many different tasks, further path planning technology is crucial to the safety, autonomy, and intelligent navigation of USVs. Firstly, this paper analyzes the impact of ocean currents and …
Continue reading at journals.sagepub.com (other versions)

Classifications

    • 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
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/04—Inference methods or devices
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computer systems utilising knowledge based models
    • G06N5/02—Knowledge representation
    • G06N5/022—Knowledge engineering, knowledge acquisition
    • 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
    • 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
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • 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
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/34—Route searching; Route guidance

Similar Documents

Publication Publication Date Title
Zhang et al. A deep learning method for the prediction of 6-DoF ship motions in real conditions
Hang et al. Path planning of collision avoidance for unmanned ground vehicles: A nonlinear model predictive control approach
Zhu et al. Multi-AUV hunting algorithm based on bio-inspired neural network in unknown environments
Qi et al. Building semantic grid maps for domestic robot navigation
Zhu et al. Global path planning of mobile robots using a memetic algorithm
Ren et al. A new pipe routing method for aero-engines based on genetic algorithm
Ru et al. A bounded near-bottom cruise trajectory planning algorithm for underwater vehicles
Wang et al. Autonomous underwater vehicle path planning based on actor-multi-critic reinforcement learning
Xu Precise path planning and trajectory tracking based on improved A-star algorithm
Zhu et al. Path planning of USV based on improved PRM under the influence of ocean current
Zhu et al. The path planning of AUV based on DS information fusion map building and bio-inspired neural network in unknown dynamic environment
Fan et al. An autonomous dynamic collision avoidance control method for unmanned surface vehicle in unknown ocean environment
Zhang et al. A new method on motion planning for mobile robots using jump point search and Bezier curves
Shih et al. RETRACTED: Path planning for autonomous robots–a comprehensive analysis by a greedy algorithm
Gu et al. A motion planning method for unmanned surface vehicle in restricted waters
Lou et al. Path planning in an unknown environment based on deep reinforcement learning with prior knowledge
Zhou et al. Route planning algorithm for autonomous underwater vehicles based on the hybrid of particle swarm optimization algorithm and radial basis function
Zheng et al. Research on autonomous collision avoidance of merchant ship based on inverse reinforcement learning
Zhao et al. Ship global traveling path optimization via a novel non-dominated sorting genetic algorithm
Gao et al. A dynamic obstacle avoidance method for unmanned surface vehicle under the international regulations for preventing collisions at sea
Daranda et al. Reinforcement learning strategies for vessel navigation
Luan et al. Path planning of unmanned surface vehicle based on artificial potential field approach considering virtual target points
Zheng et al. An improved VO method for collision avoidance of ships in open sea
Zhu et al. A circle grid-based approach for obstacle avoidance motion planning of unmanned surface vehicles
Jiang et al. Obstacle avoidance USV in multi-static obstacle environments based on a deep reinforcement learning approach