UAV trajectory prediction is the core technology for autonomous UAV flight and is a
prerequisite for control and navigation. In this article, the UAV flight path prediction model is …

Unmanned aerial vehicles (UAVs) play an invaluable role in information collection and data
fusion. Because of their mobility and the complexity of deployed environments, constant …

With the impact of artificial intelligence on the traditional UAV industry, autonomous UAV
flight has become a popular research field at present. Based on the demand for research on …

Unmanned aerial vehicle (UAV) flight data estimation and prediction are critical for flight
attitude tracking, safe operation and system health management (SHM). However, it is …

To improve the precision and robustness of Unmanned Aerial Vehicle (UAV) integrated
navigation systems, this paper presents an Interacting Multiple Model (IMM) navigation …

The development of effective target tracking and collision avoidance algorithms is essential
to the success of unmanned aerial vehicle (UAV) missions. In a dynamic environment, path …

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 …

Aiming at the limitation of the traditional four-dimensional (4-D) trajectory-prediction model of
unmanned aerial vehicles (UAV), a 4-D trajectory combined prediction model based on a …

Visually based velocity and position estimations are often used to reduce or remove the
dependency of an unmanned aerial vehicle (UAV) on global navigation satellite system …

To improve the trajectory prediction accuracy of unmanned aerial vehicles (UAVs) with
random behavior intentions, this paper presents a short-term four-dimensional (4D) …