Results 11 to 20 of about 111,129 (161)
Trajectory Prediction Algorithm Based on Gaussian Mixture-Variational Autoencoder [PDF]
Jisuanji gongcheng, 2020 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
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A Hybrid Prediction Model Based on KNN-LSTM for Vessel Trajectory
Mathematics, 2022 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
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Research on trajectory prediction of UAV drone swarm
Hangkong gongcheng jinzhan, 2023 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
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Context-Aware Trajectory Prediction [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2018 Human motion and behaviour in crowded spaces is influenced by several factors, such as the dynamics of other moving agents in the scene, as well as the static elements that might be perceived as points of attraction or obstacles. In this work, we present a new model for human trajectory prediction which is able to take advantage of both human-human and
Bartoli, Federico +3 more
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Predictability of imitative learning trajectories [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2019 Abstract The fitness landscape metaphor plays a central role in the modeling of optimizing principles in many research fields, ranging from evolutionary biology, where it was first introduced, to management research. Here we consider the ensemble of trajectories of an imitative learning search, in which agents exchange information on ...
Paulo R. A. Campos, José F. Fontanari
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Manipulating Trajectory Prediction with Backdoors
CoRR, 2023 9 pages, 7 ...
Kaouther Messaoud +5 more
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Predicting an epidemic trajectory is difficult [PDF]
Proceedings of the National Academy of Sciences, 2020 Predicting the trajectory of a novel emerging pathogen is like waking in the middle of the night and finding yourself in motion—but not knowing where you are headed, how fast you are traveling, how far you have come, or even what manner of vehicle conveys you into the darkness. A few scattered anomalies resolve into defined clusters.
Wilke, Claus O., Bergstrom, Carl T.
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Trajectory distributions: A new description of movement for trajectory prediction [PDF]
Computational Visual Media, 2022 Abstract Trajectory prediction is a fundamental and challenging task for numerous applications, such as autonomous driving and intelligent robots. Current works typically treat pedestrian trajectories as a series of 2D point coordinates. However, in real scenarios, the trajectory often exhibits randomness, and has its own probability distribution ...
Pei Lv +6 more
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Space-Time Tree Search for Long-Term Trajectory Prediction
IEEE Access, 2022 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
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UVA Trajectory Prediction Model and Simulation Based on Bi-LSTM
Hangkong gongcheng jinzhan, 2020 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
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