Sun et al., 2023 - Google Patents
A novel path planning method for multiple USVs to collect seabed-based dataSun et al., 2023
View PDF- Document ID
- 18258796510624461778
- Author
- Sun X
- Zhang L
- Song D
- Wu Q
- Publication year
- Publication venue
- Ocean Engineering
External Links
Snippet
This paper proposes a global path planning method for collecting data from seabed-based observation networks using multiple unmanned surface vessels (USVs). This method can solve the multiple traveling salesmen problem, close-enough traveling salesman problem …
- 238000004891 communication 0 abstract description 72
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S1/00—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith
- G01S1/72—Beacons or beacon systems transmitting signals having a characteristic or characteristics capable of being detected by non-directional receivers and defining directions, positions, or position lines fixed relatively to the beacon transmitters; Receivers co-operating therewith using ultrasonic, sonic or infrasonic waves
- G01S1/76—Systems for determining direction or position line
-
- 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
- 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
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
- G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Yang et al. | Fog-based marine environmental information monitoring toward ocean of things | |
Sun et al. | A novel path planning method for multiple USVs to collect seabed-based data | |
CN109933067B (en) | Unmanned ship collision avoidance method based on genetic algorithm and particle swarm algorithm | |
Li et al. | Three-dimensional path planning for AUVs in ocean currents environment based on an improved compression factor particle swarm optimization algorithm | |
Yan et al. | Data collection optimization of ocean observation network based on AUV path planning and communication | |
CN103196449B (en) | Boats and ships Route planner based on trend tide prediction information | |
CN109470235B (en) | An underwater multi-sensor cooperative passive tracking method based on dynamic clusters | |
CN109886499B (en) | Offshore distress target drift set prediction method considering feedback information | |
Das et al. | Co-operative control of a team of autonomous underwater vehicles in an obstacle-rich environment | |
CN113505431B (en) | Method, device, equipment and medium for target search for maritime UAV based on ST-DQN | |
Zheng et al. | A Decision‐Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm | |
Zhang et al. | Multi-USV task planning method based on improved deep reinforcement learning | |
Yang et al. | Maritime traffic flow clustering analysis by density based trajectory clustering with noise | |
CN108319293A (en) | A kind of UUV Realtime collision free planing methods based on LSTM networks | |
Feng et al. | Target tracking based on improved square root cubature particle filter via underwater wireless sensor networks | |
CN104333904A (en) | Distributive positioning method of mobile underwater sensor network node | |
Wen et al. | Intelligent multi-AUG ocean data collection scheme in maritime wireless communication network | |
Wang et al. | UWSNs positioning technology based on iterative optimization and data position correction | |
Zhou et al. | Ship weather routing based on hybrid genetic algorithm under complicated sea conditions | |
CN108594241A (en) | A kind of AUV Sound stealths method for situation assessment | |
Hu et al. | Underwater glider 3D path planning with adaptive segments and optimal motion parameters based on improved JADE algorithm | |
Shakila et al. | An improvised optimization algorithm for submarine detection in underwater wireless sensor networks | |
Nain et al. | A survey on node localization technologies in UWSNs: Potential solutions, recent advancements, and future directions | |
Liang et al. | Novel L+ and FO L+ algorithms based on ENC data for automatic route planning of ships | |
CN114040336A (en) | Beacon deployment method based on epitome decision positioning method and particle swarm optimization algorithm |