Results 131 to 140 of about 111,129 (161)
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Prediction of missile trajectory
1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century, 2002This study concerns the survivability of an airship that is under attack by a missile. The pilot may employ an appropriate manoeuvre or countermeasure at the right moment to escape from the attack. Real-time prediction of the missile trajectory will help prepare the pilot to take action at the right moment to survive.
null Chun-Shin Lin, P.G. Raeth
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Trajectory Unified Transformer for Pedestrian Trajectory Prediction
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023Liushuai Shi +3 more
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Aircraft Trajectory Prediction Made Easy with Predictive Analytics
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016At the heart of Air Traffic Management (ATM) lies the Decision Support Systems (DST) that rely upon accurate trajectory prediction to determine how the airspace will look like in the future to make better decisions and advisories. Dealing with airspace that is prone to congestion due to environmental factors still remains the challenge especially when ...
Samet Ayhan, Hanan Samet
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Egocentric Pedestrian Trajectory Prediction
2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2023Amar Fadillah +3 more
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A Frenet-based algorithm for trajectory prediction
Atmospheric Flight Mechanics Conference, 2000An algorithm for aircraft trajectory prediction is presented, that is based on a third-order accurate algebraic expansion of the aircraft center of gravity (e.g.) trajectory in the Frenet frame. This technique allows for an efficient evaluation of future e.g.
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Query-Centric Trajectory Prediction
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023Zikang Zhou +3 more
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Predicting Pedestrian Trajectories
2011Pedestrians do not walk randomly. While they move toward their desired destination, they avoid static obstacles and other pedestrians. At the same time they try not to slow down too much as well as not to speed up excessively. Studies coming from the field of social psychology show that pedestrians exhibit common behavioral patterns.
Stefano Pellegrini +2 more
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Market Trajectory Recognition and Trajectory Prediction Using Markov Models
2010We analyze a time series data set from a financial market. The set contains over sixty thousand OHLC candles of EUR/USD currency pair collected once every hour during the period of ten consecutive years. We build Markov models for this data and consider two approaches of analysis respectively for: trajectory recognition and trajectory prediction.
Przemyslaw Klesk, Antoni Wilinski
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Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Transportation Research Part C: Emerging Technologies, 2021Yutian Pang, Xinyu Zhao, Hao Yan
exaly