Maritime Surveillance

Latest papers

17 papers7 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Navigational Safety of Marine Surface Vehicles in Restricted Visibility: From Intelligent Vision to Vision-Centered Multi-Sensor Fusion
Nov 4, 2026Ryan Wen Liu, Fengchuan Song, Tianxiang Wang +7Maritime Navigation Multimodal Sensor Fusion
Sanya Science and Education Innovation Park of Wuhan University of Technology, Sanya 572025, China · School of Navigation, Wuhan University of Technology, Wuhan 430063, China · School of Marine Science and Technology, Wuhan University of Technology, Sanya 572025, China +6
When appearance and motion disagree: evaluating class-motion consistency against disguised uncrewed surface vessels
Oct 30, 2026Jon ReifschneiderMaritime Surveillance Unmanned Surface Vehicle
Duke University, Durham, NC, USA
Revealing Imaging Characteristics of Thermal Wakes from Underwater Vehicles Without Cooling-Water Discharge
Oct 26, 2026Guoyi Zhang, Yanjin Du, Guangsheng Xu +16Underwater Object Detection Maritime Surveillance
School of Aeronautics and Astronautics, Sun Yat-sen University, Shenzhen, 518107, Guangdong, China · Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin, China · Institute of Machinery Manufacturing Technology, China Academy of Engineering Physics, Mianyang, 621900, China +3
Localization-Uncertainty-Aware UAV Swarm Search for GNSS-Denied Maritime Surveillance
Oct 26, 2026Siyuan Yang, Junning Lyu, Xiaoyu He +2Swarm Robotics Multi-Robot Systems
School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China · Professor Emeritus with King’s College London, London WC2R 2LS, United Kingdom
From Signals to Evidence: Interpretable Underwater Acoustic Target Sensing with Large Language Models - Part II: Passive Detection
Oct 22, 2026Zhiyuan Li, Yuge Zhang, Jie Chen +6Underwater Acoustics Passive Acoustic Monitoring
School of Artificial Intelligence, Northwestern Polytechnical University, Xi’an, Shaanxi 710129, China · School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai, 519000, Guangdong, China · School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, Shaanxi 710129, China +1
HullProbe: Measuring Interventional Part Reliance in Maritime Vessel Classifiers
Oct 18, 2026Faisal Mohammad, Mohamed YounisImage Classification Feature Attribution
University of Maryland, Baltimore County · Johns Hopkins University Applied Physics Laboratory
Multi-Modal Graph Neural Network-Inspired Vessel Identification and Tracking for UAV-Based Maritime Surveillance
Oct 9, 2026Chenjie Zhao, Jiangtian Nie, Jiawen Kang +2Maritime Surveillance Multi-Object Tracking
Sanya Science and Education Innovation Park of Wuhan University of Technology, Sanya 572025, China · School of Navigation, Wuhan University of Technology, Wuhan 430063, China · School of Natural and Computing Sciences, University of Aberdeen, Aberdeen AB24 3UE, U.K. +2
AI-Based On-Board Maritime Object Detection for Earth Observation Payload Data Reduction on Versal Embedded Hardware
Oct 8, 2026Thomas Goudemant, Aurélien Bobey, Omar Hlimi +1Remote Sensing Maritime Surveillance
IRT Saint Exupéry
MariSat: A Maritime Dataset for Instance Segmentation of Objects in Satellite and Aerial Images
Aug 30, 2026Amir Abbes, Ines Harrabi, Lucas Justin Yirepoa Kinda +3Instance Segmentation Maritime Surveillance
University of Carthage, SUP’COM, LR11TIC05, MEDIATRON, 2083, Ariana, Tunisia · University of Gabes, Hatem Bettaher IResCoMath Laboratory, Gabes, Tunisia · University of Rouen Normandie, ESIGELEC, IRSEEM, 76000 Rouen, France
CRHT: A Continuous Regression Hybrid Transformer for Vessel Trajectory Prediction with Online Cluster Sampling
Aug 10, 2026Alexander Schiøtz, Bertram Hage, Christian Rand +2Hybrid CNN-Transformer Architectures Maritime Surveillance
Technical University of Denmark Anker Engelunds Vej 101 2800 Kongens Lyngby, Denmark
Deep Learning based Detection of Fishing Vessels and Fishing Monitoring using Nightlight Images
Aug 10, 2026Shantakar Mohanty, Prasun Kumar Gupta, Raian Vargas MarettoRemote Sensing Image Understanding Maritime Surveillance
Indian Institute of Remote Sensing, ISRO, Dehradun, India · University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, The Netherlands
Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance
Jul 3, 2026Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris +2Maritime Surveillance Information Gain
Cyprus Marine and Maritime Institute, Larnaca, Cyprus · Technical University of Denmark, Lyngby, Denmark
Bridging the Gap Between Image Restoration and Navigational Safety in Hazy Conditions: A New Visibility Estimation Metric for Maritime Surveillance
Jun 29, 2026Wentao Feng, Guobei Peng, Wengang Mao +1Maritime Surveillance Image Quality Assessment
Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, China · School of Navigation, Wuhan University of Technology, Wuhan 430063, China · State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China +1
Sea-Scan: High-Accuracy, ML-based Dark Vessel Detection and Localisation via Weakly Supervised DAS Monitoring
Jun 19, 2026Tian Tian, Agastya Raj, Lara Flanagan +2Distributed Acoustic Sensing Object Detection
School of Computer Science and Statistics, IRIS Research Group, ADAPT Research Centre, Trinity College Dublin, Ireland · School of Engineering, ADAPT Research Centre, Trinity College Dublin, Ireland
HARBOR: Heading Analysis and Reconstruction from Behavioral Observation and Radar
Jun 12, 2026Joao P. A. Dantas, Paulo F. Silva Filho, Jelton A. Cunha +1Remote Sensing Image Understanding Maritime Surveillance
Institute for Advanced Studies, São José dos Campos, São Paulo, Brazil
DarkVesselNet: Multi-Modal Remote Sensing and Trajectory Reasoning for Dark Vessel Detection
May 30, 2026Arun SharmaMultimodal Sensor Fusion Anomaly Detection
University of Minnesota, Twin Cities
Adaptive Entropy-Driven Sensor Selection in a Camera-LiDAR Particle Filter for Single-Vessel Tracking
Mar 9, 2026Andrei Starodubov, Yaqub Aris Prabowo, Andreas Hadjipieris +2Particle Filtering Maritime Surveillance
Cyprus Marine and Maritime Institute, Larnaca, Cyprus · Technical University of Denmark, Lyngby, Denmark

Nov 4, 2026J/K move · Enter open · S save

Navigational Safety of Marine Surface Vehicles in Restricted Visibility: From Intelligent Vision to Vision-Centered Multi-Sensor Fusion

Ryan Wen Liu, Fengchuan Song, Tianxiang Wang, Guobei Peng+6

Sanya Science and Education Innovation Park of Wuhan University of Technology, Sanya 572025, China · School of Navigation, Wuhan University of Technology, Wuhan 430063, China · School of Marine Science and Technology, Wuhan University of Technology, Sanya 572025, China+6

Maritime Navigation Multimodal Sensor Fusion Camera-Radar Fusion Camera-LiDAR Fusion Maritime Surveillance

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Marine surface vehicles (MSVs) have attracted considerable attention for their commercial, scientific, and military applications. Owing to their favorable performance-to-cost ratio, shipboard cameras are widely used to detect and recognize potentially hazardous situations across diverse operational scenarios. However, visual perception is inevitably degraded by restricted conditions, including irregular motion of the imaging platform, adverse weather, and long imaging distances. To improve situational awareness and navigation capabilities, complementary sensors, such as the automatic identification system (AIS), radar, and light detection and ranging (LiDAR), etc., have become essential shipboard equipment. Multi-sensor fusion can provide richer perceptual information and help ensure navigational safety of MSVs in restricted visibility. This article reviews recent progress from intelligent vision to vision-centered multi-sensor fusion for newcomers and researchers in intelligent ship navigation and intelligent waterborne transportation system (IWTS). After introducing the generation of quality-degraded images in restricted visibility, we will review intelligent vision methods for four key issues, i.e., shipboard video stabilization, visual perception enhancement, object detection and tracking, and navigable area segmentation. We then examine vision-centered multi-sensor fusion methods, including infrared-visible image fusion, radar-vision fusion, LiDAR-vision fusion, AIS-vision fusion, and other multi-sensor fusion scenarios. Open-source datasets and safety-critical applications are also summarized and discussed. Finally, we highlight open challenges and future research directions. The collected maritime datasets are available at https://github.com/MAPGroup/Datasets and will be regularly updated.