Path planning and obstacle avoidance for auv: a review
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01.01.2022
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Bog'liq
OceanEngineering2021-cheng
Document Outline
Path planning and obstacle avoidance for AUV:
A review
Introduction
Modeling and analysis of AUV
Kinematics
Dynamics
Global path planning
with known static obstacles
A*
algorithm
Genetic algorithm
Differential evolution
Particle
swarm optimization
Ant colony optimization
Discussion
Local path planning with
unknown and dynamic obstacles
Rapidly-exploring Random Trees (RRT)
Artificial potential field
Fuzzy
logic algorithm
Neural network
Reinforcement learning
Deep
reinforcement learning
Other algorithms
Discussion
Outlook
and future directions
Path planning for real AUV platform
Path planning
in uncertain environments
Combination of different path planning algorithms
Conclusion
CRediT authorship
contribution statement
Declaration of competing interest
Acknowledgment
References
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