Results 21 to 30 of about 85 (79)
Tracking of a Manoeuvering Target Ship using Radar Measurements
For on sea water measurements of range on bearing in naval operations various types of Kalman filters including extended Kalman filter have been used. In this paper ,input estimation techniques applied normally to in air applications are applied to on sea measurements using chi – square distribution random sequence residual techniques.
A. Sampath Dakshina Murthy +5 more
openaire +1 more source
Challenges and Solutions to COLREGs on MASS Ethical Issues in Vessel Manoeuvring Practices [PDF]
Though much attention has been paid to the navigational safety of MASS, very few have examined the major challenges that MASS presents to COLREGs from the standpoint of practical vessel manoeuvring.
Liang He
doaj +1 more source
A Bidirectional Imitation-Learning Framework for Real Time Trajectory Planning in Automatic Berthing [PDF]
This paper presents a bidirectional imitation-learning framework for AIS-based real-time trajectory planning in automatic berthing. The framework connects a ship’s current state with a prescribed terminal berthing condition by using two imitation ...
Takefumi Higaki, Hirotada Hashimoto
doaj +1 more source
Incorporating Probabilistic Mutual Interactions in Simulation-Based Safety Evaluation of Maritime Autonomous Surface Ships [PDF]
This paper proposes a “Probabilistic Reactive Target Model” that generates avoidance behaviors for target ships to evaluate the collision avoidance algorithms of Maritime Autonomous Surface Ships (MASS) in a realistic simulation environment.
Mikihisa Ishii, Hitoi Tamaru
doaj +1 more source
(1) A dynamic decision‐making model for ship berthing is proposed to provide real‐time assistance to shipmasters and pilots. (2) The proposed model considers the kinematic parameters related to ship berthing. (3) The proposed model employs a structured three‐layer fuzzy inference system to derive berthing decision‐making results. ABSTRACT Ship berthing
Diao Han, Yang Wang, Haitong Xu, Bing Wu
wiley +1 more source
Research on The Prediction of Congestion Risk of Ship Traffic Flow in Vulnerable Waterways
Vulnerable inland waterways frequently suffer from vessel traffic congestion. This study proposes an FCM clustering combined with stacking ensemble learning model to identify and predict navigation risk levels based on AIS trajectory data. The experimental results prove that the proposed method outperforms traditional single machine learning models and
Yongjun Chen +5 more
wiley +1 more source
This study addresses the obstacle avoidance problem of a multi‐thruster AUV in unfamiliar environments by combining in‐place steering with single‐beam ranging. An optimised Vector Field Histogram algorithm is designed to enable real‐time heading decisions using the collected multi‐directional distance data.
Xizhao Du +6 more
wiley +1 more source
This paper investigates the moving target detection under the low earth orbit navigation augmentation (LEO‐NA) signal‐based PR (LNAS‐PR) system, which utilises the LEO satellite with navigation augmentation capability as the illuminator. By jointly considering the target's motion and electromagnetic scattering characteristics, this paper proposes a ...
Mingxu Zhang +3 more
wiley +1 more source
Ship–bridge pier collisions signify a serious risk to structural integrity and construction health and safety during bridge construction phases where structural redundancy is limited. This study develops a hybrid finite element–machine learning (FE–ML) replacement framework for rapid prediction of collision consequence severity under different maritime
Abdul Haq +6 more
wiley +1 more source

