An attention-LSTM trajectory prediction model is proposed in this paper, which is split into two parts. The time-series features of the flight trajectory are extracted in the initial stage using the long-short-term memory neural network (LSTM). In the second part, the attention mechanism is ...
Finally, the similarity between models and trajectory to be detected is calculated to detect abnormal trajectory. The experimental results of publicly available flight data set show that trajectory models obtained are descriptive enough to represent normal trajectory groups well, and the accuracy of ...
identify infrared UAV targets and can achieve more accurate predictions of UAV flight trajectories, which are reduced by 9.43% and 23.81% in terms of MAPE and MSE indicators compared with the native LSTM network (the smaller the values of these evaluation indexes, the...
Researchers have used a combination of deep belief networks (DBNs) and PCA to evaluate the aviation safety of the country. In general, DBN is useful for safety prediction since each layer acquires more complicated features from the previous layers. In fact, DBN predicts severe flight incident rat...
UAV prevention and control;LSTM;target identification;trajectory prediction 1. Introduction As a product of the development of unmanned system technology, UAV flight equipment has great application value in civilian and military fields such as geological exploration, regional search, and battlefield reconna...
In order to improve the UAV prevention and control capability in key areas and improve the rapid identification and trajectory prediction accuracy of the ground detection system in anti-UAV early warnings, an improved LSTM trajectory prediction network C
2.2. UAV Trajectory Prediction Algorithm Prediction is based on historical moment data for estimating the future moment state of the process because the UAV flight speed is fast and unpredictable, and the urban low-altitude background building occlusion is more serious. So, it is necessary to rely...
The risk level topography of the UAV’s three-dimensional trajectory commands is then obtained through mathematical simulations, enabling the determination of the range of safe tracking commands for the UAV. Next, an ice tolerance flight envelope protection control law is designed on the basis of ...
It is easy to figure out that the more the cross error of the trajectory relative to the sight-line of the target, the more flight time the vehicle takes, and the opposite conclusion will be inferred from the contrary condition. Therefore, a time potential field is developed to control the...
Height error of multisensor data fusion target trajectory. Table 5. The error data statistics of absolute distance. In the off-site flight test, we could not obtain the real position information of the aircraft in the ideal environment directly, but we used the high-precision data of GPS ...