Short-Term 4D Trajectory Prediction for UAV Based on Spatio-Temporal Trajectory Clustering
To improve the trajectory prediction accuracy of unmanned aerial vehicles (UAVs) with random behavior intentions, this paper presents a short-term four-dimensional (4D) trajectory prediction method based on spatio-temporal trajectory clustering. A spatio-
Gang Zhong +4 more
doaj +1 more source
Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system [PDF]
In field of location prediction, trajectory recognition is one of the most widely research issues. Since trajectory includes various information such as position, time, and speed, many scientific methods are applied to extracting meaningful features, and
Yi Zuo, Junhao Jiang, Katsutoshi Yada
doaj +2 more sources
Trajectory Prediction Algorithm Based on Gaussian Mixture-Variational Autoencoder [PDF]
The trajectory prediction of warships requires high accuracy and real-time performance,but the high complexity of trajectory data features of warships causes the traditional prediction algorithms to be inaccurate and time-consuming,reducing prediction ...
ZHANG Xianyang, ZHU Xiaoyu, LIN Haoshen, LIU Gang, AN Xibin
doaj +1 more source
Research on trajectory prediction of UAV drone swarm
The trajectory prediction model of traditional weapon control algorithm cannot effectively predict the complex trajectory of drones. Besides, the single UAV is usually considered in current research on complex trajec-tory prediction, which has huge ...
ZHANG Genyuan +3 more
doaj +1 more source
A Hybrid Prediction Model Based on KNN-LSTM for Vessel Trajectory
Trajectory prediction technology uses the trajectory data of historical ships to predict future ship trajectory, which has significant application value in the field of ship driving and ship management. With the popularization of Automatic Identification
Lixiang Zhang +5 more
doaj +1 more source
Space-Time Tree Search for Long-Term Trajectory Prediction
The pedestrian trajectory prediction is critical for autonomous driving, intelligent navigation, and abnormal behavior detection. With the booming of artificial intelligence (AI), many researchers have employed deep learning technologies to solve the ...
Tingyong Wu +3 more
doaj +1 more source
Semantic scene upgrades for trajectory prediction
Understanding pedestrian motion is critical for many real-world applications, e.g., autonomous driving and social robot navigation. It is a challenging problem since autonomous agents require complete understanding of its surroundings including complex spatial, social and scene dependencies.
Arsal Syed, Brendan Tran Morris
openaire +2 more sources
Stochastic Sampling Simulation for Pedestrian Trajectory Prediction [PDF]
Urban environments pose a significant challenge for autonomous vehicles (AVs) as they must safely navigate while in close proximity to many pedestrians.
Anderson, Cyrus +3 more
core +7 more sources
UVA Trajectory Prediction Model and Simulation Based on Bi-LSTM
The traditional trajectory prediction models have the problems of large model simplification and less consideration. Combined with the characteristics of flight trajectory continuity, time series and interactivity, a trajectory prediction model based on ...
YANG Rennong +4 more
doaj +1 more source
Multi-camera trajectory forecasting : pedestrian trajectory prediction in a network of cameras [PDF]
We introduce the task of multi-camera trajectory forecasting (MCTF), where the future trajectory of an object is predicted in a network of cameras. Prior works consider forecasting trajectories in a single camera view.
Guha, Tanaya +3 more
core +2 more sources

