相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。An Overview of Underwater Vision Enhancement: From Traditional Methods to Recent Deep Learning
Kai Hu et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)
Modeling and Trajectory Tracking Model Predictive Control Novel Method of AUV Based on CFD Data
Han Bao et al.
SENSORS (2022)
An AUV Target-Tracking Method Combining Imitation Learning and Deep Reinforcement Learning
Yubing Mao et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)
GPU-Accelerated Multi-Objective Optimal Planning in Stochastic Dynamic Environments
Rohit Chowdhury et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)
Formation Control of Multiple Autonomous Underwater Vehicles under Communication Delay, Packet Discreteness and Dropout
Liang Li et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)
Improved RRT Algorithm for AUV Target Search in Unknown 3D Environment
Juan Li et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)
Underwater Image Enhancement Based on Local Contrast Correction and Multi-Scale Fusion
Farong Gao et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)
Enhancing continuous control of mobile robots for end-to-end visual active tracking
Alessandro Devo et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2021)
Underwater Image Mosaic Algorithm Based on Improved Image Registration
Yinsen Zhao et al.
APPLIED SCIENCES-BASEL (2021)
AUV Trajectory Tracking Models and Control Strategies: A Review
Daoliang Li et al.
JOURNAL OF MARINE SCIENCE AND ENGINEERING (2021)
Deep Reinforcement Learning for Strategic Bidding in Electricity Markets
Yujian Ye et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Graph-Search and Differential Equations for Time-Optimal Vessel Route Planning in Dynamic Ocean Waves
Gianandrea Mannarini et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)
AUV path following controlled by modified Deep Deterministic Policy Gradient
Yushan Sun et al.
OCEAN ENGINEERING (2020)
Fixed-Wing UAVs flocking in continuous spaces: A deep reinforcement learning approach
Chao Yan et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2020)
Deep Interactive Reinforcement Learning for Path Following of Autonomous Underwater Vehicle
Qilei Zhang et al.
IEEE ACCESS (2020)
Composite learning adaptive sliding mode control for AUV target tracking
Yuyan Guo et al.
NEUROCOMPUTING (2019)
Multi Pseudo Q-Learning-Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
Wenjie Shi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Reinforcement Learning Based Obstacle Avoidance for Autonomous Underwater Vehicle
Prashant Bhopale et al.
JOURNAL OF MARINE SCIENCE AND APPLICATION (2019)
Adaptive low-level control of autonomous underwater vehicles using deep reinforcement learning
Ignacio Carlucho et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2018)
Handbook of Marine Craft Hydrodynamics and Motion Control [Bookshelf]
IEEE CONTROL SYSTEMS MAGAZINE (2016)
Modeling and control of autonomous underwater vehicle (AUV) in heading and depth attitude via self-adaptive fuzzy PID controller
Mohammad Hedayati Khodayari et al.
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2015)
Towards docking for small scale underwater robots
Stefano Mintchev et al.
AUTONOMOUS ROBOTS (2015)
Two-step gradient-based reinforcement learning for underwater robotics behavior learning
Andres El-Fakdi et al.
ROBOTICS AND AUTONOMOUS SYSTEMS (2013)
Model-based output feedback control of slender-body underactuated AUVs: Theory and experiments
Jon E. Refsnes et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2008)