Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey

06/03/2016
by   Enmei Tu, et al.
0

The Automatic Identification System (AIS) tracks vessel movement by means of electronic exchange of navigation data between vessels, with onboard transceiver, terrestrial and/or satellite base stations. The gathered data contains a wealth of information useful for maritime safety, security and efficiency. This paper surveys AIS data sources and relevant aspects of navigation in which such data is or could be exploited for safety of seafaring, namely traffic anomaly detection, route estimation, collision prediction and path planning.

READ FULL TEXT
research
02/09/2018

Research and Implementation of Global Path Planning for Unmanned Surface Vehicle Based on Electronic Chart

Unmanned Surface Vehicle (USV) is a new type of intelligent surface craf...
research
09/14/2021

Grounding-aware RRT* for Path Planning and Safe Navigation of Marine Crafts in Confined Waters

The paper presents a path planning algorithm based on RRT* that addresse...
research
01/02/2020

Modeling Historical AIS Data For Vessel Path Prediction: A Comprehensive Treatment

The prosperity of artificial intelligence has aroused intensive interest...
research
10/24/2022

Informed Sampling-based Collision Avoidance with Least Deviation from the Nominal Path

This paper addresses local path re-planning for n-dimensional systems by...
research
07/31/2018

Fast Approximate Clearance Evaluation for Kinematically Constrained Articulated Suspension Systems

In this paper, we present a light-weight collision detection algorithm f...
research
03/09/2022

MLNav: Learning to Safely Navigate on Martian Terrains

We present MLNav, a learning-enhanced path planning framework for safety...
research
11/16/2021

Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach

Despite decades of efforts, robot navigation in a real scenario with vol...

Please sign up or login with your details

Forgot password? Click here to reset