Unmanned aerial vehicles (UAV) have extensive application value in the military field. It has
been deployed on a large scale in the conflict between Armenia and Azerbaijan, the civil …

Recently, unmanned aerial vehicles (UAVs) are gathering increasing attentions from both
the academia and industry. The ever-growing number of UAV brings challenges for air traffic …

In recent years, unmanned aerial vehicle (UAV) autonomous flight technology has been
applied in many fields. However, in the process of autonomous operation, the UAV may …

Single Long Short-Term Memory (LSTM) network cannot effectively extract key information
and cannot accurately fit data distribution in trajectory prediction. In order to solve the …

In recent years, unmanned aerial vehicle (UAV) autonomous flight technology has been
applied in many fields. However, in the process of autonomous operation, the UAV may …

In the autonomous UAV cruise mission, safety and reliability are critical and challenging
issues. From the historical UAV accidents, it is clear that ensuring UAV operation safety is …

To deal with the threat from flying vehicles, it is of great significance to accurately predict the
flight trajectory of flying vehicles using the known historical position data. In this paper, we …

This paper is based on a large number of AIS data. Firstly, data preprocessing is carried out
to ensure the integrity and accuracy of the data. Then, based on the route data, the …

The rapid development of general aviation leads to many problems in air traffic
management. The efficient and accurate flight trajectory prediction is the key technology to …

This paper applies deep learning technology to the trajectory prediction research of high-
speed aircraft in order to predict the medium-and long-term trajectory. Hence, a hybrid …