Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology
The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …
Sense and avoid technologies with applications to unmanned aircraft systems: Review and prospects
Abstract Unmanned Aircraft Systems (UASs) are becoming ever more promising over the
last decade. The Sense and Avoid (S&A) system plays a profoundly important role in …
last decade. The Sense and Avoid (S&A) system plays a profoundly important role in …
Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Trajectory prediction is an essential component of the next generation national air
transportation system. Reliable trajectory prediction models need to consider uncertainties …
transportation system. Reliable trajectory prediction models need to consider uncertainties …
Bayesian spatio-temporal graph transformer network (b-star) for multi-aircraft trajectory prediction
Abstract Multi-Agent Trajectory Prediction is a critical and challenging component across
different safety–critical engineering applications, eg, autonomous driving and flight systems …
different safety–critical engineering applications, eg, autonomous driving and flight systems …
[HTML][HTML] Aircraft 4D trajectory prediction in civil aviation: A review
Aircraft four dimensional (4D, including longitude, latitude, altitude and time) trajectory
prediction is a key technology for existing automation systems and the basis for future …
prediction is a key technology for existing automation systems and the basis for future …
A deep learning approach for aircraft trajectory prediction in terminal airspace
Current state-of-the-art trajectory methods do not perform well in the terminal airspace that
surrounds an airport due to its complex airspace structure and the frequently changing flight …
surrounds an airport due to its complex airspace structure and the frequently changing flight …
Aircraft trajectory prediction and synchronization for air traffic management applications
S Mondoloni, N Rozen - Progress in aerospace sciences, 2020 - Elsevier
Commercial aircraft operating today are faced with an air traffic management (ATM) system
operating with methods that have been developed for a paper-and voice-based system …
operating with methods that have been developed for a paper-and voice-based system …
A probabilistic risk approach for the collision detection of multi-ships under spatiotemporal movement uncertainty
It is vital to analyse ship collision risk for preventing collisions and improving safety at sea.
The state-of-the-art of ship collision risk analysis focuses on encountering conflict between …
The state-of-the-art of ship collision risk analysis focuses on encountering conflict between …
Learning probabilistic trajectory models of aircraft in terminal airspace from position data
ST Barratt, MJ Kochenderfer… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Models for predicting aircraft motion are an important component of modern aeronautical
systems. These models help aircraft plan collision avoidance maneuvers and help conduct …
systems. These models help aircraft plan collision avoidance maneuvers and help conduct …
FlightBERT: binary encoding representation for flight trajectory prediction
Flight Trajectory Prediction (TP) is an essential task in Air Traffic Control (ATC). Currently,
the TP task is usually achieved by regression approaches, which concatenates several …
the TP task is usually achieved by regression approaches, which concatenates several …