A survey of maritime unmanned search system: Theory, applications and future directions

J Li, G Zhang, C Jiang, W Zhang - Ocean Engineering, 2023 - Elsevier
The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …

Sensors and AI techniques for situational awareness in autonomous ships: A review

S Thombre, Z Zhao, H Ramm-Schmidt… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons

C Zhao, RW Liu, J Qu, R Gao - Engineering Applications of Artificial …, 2024 - Elsevier
With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

Survey on Deep Learning‐Based Marine Object Detection

R Zhang, S Li, G Ji, X Zhao, J Li… - Journal of Advanced …, 2021 - Wiley Online Library
We present a survey on marine object detection based on deep neural network approaches,
which are state‐of‐the‐art approaches for the development of autonomous ship navigation …

The maturity of automatic identification systems (AIS) and its implications for innovation

ES Lee, AJ Mokashi, SY Moon, GS Kim - Journal of Marine Science and …, 2019 - mdpi.com
The member states of International Maritime Organization (IMO) have been leading in and
enforcing the use of automatic identification systems (AIS) in the analysis of ship-to-ship …

Deep learning in unmanned surface vehicles collision-avoidance pattern based on AIS big data with double GRU-RNN

J Shi, Z Liu - Journal of Marine Science and Engineering, 2020 - mdpi.com
There is a collection of a large amount of automatic identification system (AIS) data that
contains ship encounter information, but mining the collision avoidance knowledge from AIS …

Ship spatiotemporal key feature point online extraction based on AIS multi-sensor data using an improved sliding window algorithm

M Gao, GY Shi - Sensors, 2019 - mdpi.com
Large volumes of automatic identification system (AIS) data provide new ideas and methods
for ship data mining and navigation behavior pattern analysis. However, large volumes of …

Challenges in vessel behavior and anomaly detection: From classical machine learning to deep learning

L May Petry, A Soares, V Bogorny, B Brandoli… - Advances in Artificial …, 2020 - Springer
The global expansion of maritime activities and the development of the Automatic
Identification System (AIS) have driven the advances in maritime monitoring systems in the …

Robust visual ship tracking with an ensemble framework via multi-view learning and wavelet filter

X Chen, H Chen, H Wu, Y Huang, Y Yang, W Zhang… - Sensors, 2020 - mdpi.com
Maritime surveillance videos provide crucial on-spot kinematic traffic information (traffic
volume, ship speeds, headings, etc.) for varied traffic participants (maritime regulation …

Mobile target tracking mechanisms using unmanned aerial vehicle: Investigations and future directions

AI Hentati, LC Fourati - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Nowadays, the unmanned aerial vehicles (UAV) deployment for diverse applications
become a reality. Mobile target tracking (MTT) using UAVs is among the widespread UAVs …