Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview论文
IEEE Transactions on Systems Man and Cybernetics Systems2022引用: 270
The hybrid path planning algorithm based on improved A* and artificial potential field for unmanned surface vehicle formations论文
Ocean Engineering2021引用: 373
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses论文
Proceedings of the AAAI Conference on Artificial Intelligence2021引用: 229
Path planning and obstacle avoidance for AUV: A review论文
Ocean Engineering2021引用: 336
An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2021引用: 223
Path Planning for Autonomous Mobile Robots: A Review论文
Sensors2021引用: 413
A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field论文
Applied Ocean Research2021引用: 296
Sensors and AI Techniques for Situational Awareness in Autonomous Ships: A Review论文
IEEE Transactions on Intelligent Transportation Systems2020引用: 258
COLREGs-compliant multiship collision avoidance based on deep reinforcement learning论文
Ocean Engineering2019引用: 219
Deep reinforcement learning-based controller for path following of an unmanned surface vehicle论文
Ocean Engineering2019引用: 235
A knowledge-free path planning approach for smart ships based on reinforcement learning论文
Ocean Engineering2019引用: 232
COLREGS-Constrained Real-time Path Planning for Autonomous Ships Using Modified Artificial Potential Fields论文
Journal of Navigation2018引用: 349
Multi-objective path planning for unmanned surface vehicle with currents effects论文
ISA Transactions2018引用: 221
Smoothed A* algorithm for practical unmanned surface vehicle path planning论文
Applied Ocean Research2018引用: 297
A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents论文
Ocean Engineering2018引用: 299
Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images论文
IEEE Geoscience and Remote Sensing Letters2018引用: 370
SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection论文
IEEE Transactions on Multimedia2018引用: 475
Robust Kalman Filters Based on Gaussian Scale Mixture Distributions With Application to Target Tracking论文
IEEE Transactions on Systems Man and Cybernetics Systems2017引用: 224
Hostile Control of Ships via False GPS Signals: Demonstration and Detection论文
NAVIGATION Journal of the Institute of Navigation2017引用: 253
A new AUV navigation system exploiting unscented Kalman filter论文
Ocean Engineering2016引用: 234
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