Collision-avoidance navigation systems for Maritime Autonomous Surface Ships: A state of the art survey
X Zhang, C Wang, L Jiang, L An, R Yang - Ocean Engineering, 2021 - Elsevier
The rapid development of artificial intelligence significantly promotes collision-avoidance
navigation of maritime autonomous surface ships (MASS), which in turn provides prominent …
navigation of maritime autonomous surface ships (MASS), which in turn provides prominent …
Path planning and collision avoidance for autonomous surface vehicles II: a comparative study of algorithms
Artificial intelligence is an enabling technology for autonomous surface vehicles, with
methods such as evolutionary algorithms, artificial potential fields, fast marching methods …
methods such as evolutionary algorithms, artificial potential fields, fast marching methods …
[HTML][HTML] A method for the direct assessment of ship collision damage and flooding risk in real conditions
Collision accidents may lead to significant asset damage and human casualties. This paper
introduces a direct analysis methodology that makes use of Automatic Identification System …
introduces a direct analysis methodology that makes use of Automatic Identification System …
Deep reinforcement learning-based collision avoidance for an autonomous ship
Social interest in autonomous navigation systems for autonomous ships is also increasing.
For a robust autonomous navigation system, the location, speed, and direction of the ship …
For a robust autonomous navigation system, the location, speed, and direction of the ship …
[HTML][HTML] Ship trajectory prediction based on bi-LSTM using spectral-clustered AIS data
J Park, J Jeong, Y Park - Journal of marine science and engineering, 2021 - mdpi.com
According to the statistics of maritime accidents, most collision accidents have been caused
by human factors. In an encounter situation, the prediction of ship's trajectory is a good way …
by human factors. In an encounter situation, the prediction of ship's trajectory is a good way …
Model-reference reinforcement learning for collision-free tracking control of autonomous surface vehicles
This paper presents a novel model-reference reinforcement learning algorithm for the
intelligent tracking control of uncertain autonomous surface vehicles with collision …
intelligent tracking control of uncertain autonomous surface vehicles with collision …
Fuzzy domain and meta-heuristic algorithm-based collision avoidance control for ships: Experimental validation in virtual and real environment
Collisions at sea are frequently caused by human-related factors, such as; manoeuvre
timing mistakes, risk assessment failures and deficiencies in strategies for collision …
timing mistakes, risk assessment failures and deficiencies in strategies for collision …
Multi-ship encounter situation adaptive understanding by individual navigation intention inference
S Wang, Y Zhang, Y Zheng - Ocean Engineering, 2021 - Elsevier
The multi-ship encounter situation at sea is characterized by high complexity and
uncertainty, which is a big challenge for both traditional ships and the new autonomous …
uncertainty, which is a big challenge for both traditional ships and the new autonomous …
Testbed scenario design exploiting traffic big data for autonomous ship trials under multiple conflicts with collision/grounding risks and spatio-temporal dependencies
Autonomous ships are promoted as the future of the maritime transport industry aiming to
overcome conventional vessels in terms of performance, safety and environmental impact …
overcome conventional vessels in terms of performance, safety and environmental impact …
A collision avoidance approach via negotiation protocol for a swarm of USVs
For solving collision avoidance issue of a swarm of unmanned surface vehicles (USVs)
under complex situations, a collision avoidance approach using a negotiation protocol for …
under complex situations, a collision avoidance approach using a negotiation protocol for …