Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions
Autonomous driving has achieved significant milestones in research and development over
the last two decades. There is increasing interest in the field as the deployment of …
the last two decades. There is increasing interest in the field as the deployment of …
Review of research progress of autonomous and unmanned shipping and identification of future research directions
The maritime industry is following the trend of increased autonomy and digitalisation applied
in aviation, automotive, military, and chemical industries. Maritime autonomous and …
in aviation, automotive, military, and chemical industries. Maritime autonomous and …
A novel deterministic search-based algorithm for multi-ship collaborative collision avoidance decision-making
R Zhen, Z Shi, Q Gu, S Yang - Ocean Engineering, 2024 - Elsevier
Ship collision avoidance is critical to maritime safety, but maritime traffic patterns are
becoming increasingly complex as the number of vessels of all types increases. Therefore …
becoming increasingly complex as the number of vessels of all types increases. Therefore …
A fuzzy Bayesian network risk assessment model for analyzing the causes of slow-down processes in two-stroke ship main engines
This paper presents a risk assessment approach for analyzing the causes of malfunction-
related main engine slowdowns. A fuzzy Bayesian Network-based methodology is used to …
related main engine slowdowns. A fuzzy Bayesian Network-based methodology is used to …
Autonomous collision avoidance method for MASSs based on precise potential field modelling and COLREGs constraints in complex sailing environments
H Lyu, W Liu, S Guo, G Tan, C Fu, X Sun, Y Zhao… - Ocean …, 2024 - Elsevier
Autonomous collision avoidance (CA) for maritime autonomous surface ships (MASSs) in
complex navigational environments requires accurate environment modelling and efficient …
complex navigational environments requires accurate environment modelling and efficient …
Model Predictive Trajectory Optimization and Control for Autonomous Surface Vessels Considering Traffic Rules
This paper presents a rule-compliant trajectory optimization method for the guidance and
control of Autonomous Surface Vessels. The method builds on Model Predictive Contouring …
control of Autonomous Surface Vessels. The method builds on Model Predictive Contouring …
Cooperative-based augmentation system using Bayesian filtering
We introduce in this paper a cooperative-based augmentation system for aircraft positioning.
To that end, we derive a distributed estimation algorithm for cooperative localization over a …
To that end, we derive a distributed estimation algorithm for cooperative localization over a …
A novel data-driven method of ship collision risk evolution evaluation during real encounter situations
Aiming at realizing collision risk quantitative evaluation among encounter ships, a novel
data-driven evolution model is proposed concerning encounter evolution in maritime …
data-driven evolution model is proposed concerning encounter evolution in maritime …
Provable Traffic Rule Compliance in Safe Reinforcement Learning on the Open Sea
H Krasowski, M Althoff - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
For safe operation, autonomous vehicles have to obey traffic rules that are set forth in legal
documents formulated in natural language. Temporal logic is a suitable concept to formalize …
documents formulated in natural language. Temporal logic is a suitable concept to formalize …
A Dynamic Context-Aware Approach for Vessel Trajectory Prediction Based on Multi-Stage Deep Learning
Accurate and reliable vessel trajectory prediction is challenging due to the highly non-linear,
intricate and stochastic features of maritime transport networks, but its solutions are vital for …
intricate and stochastic features of maritime transport networks, but its solutions are vital for …