Results 271 to 280 of about 197,668 (326)
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IEEE Transactions on Instrumentation and Measurement
This article focuses on the cooperative localization of maneuvering targets on the ground from unmanned aerial vehicles (UAVs) with bearing-only measurements.
Menghao Qian, Wei Chen, Ruisheng Sun
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This article focuses on the cooperative localization of maneuvering targets on the ground from unmanned aerial vehicles (UAVs) with bearing-only measurements.
Menghao Qian, Wei Chen, Ruisheng Sun
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A Data-Driven Maneuvering Target Tracking Method Aided With Partial Models
IEEE Transactions on Vehicular TechnologyTarget tracking plays a vital role in both civil and military fields. Traditional radar point (maneuvering) target tracking methods always require a prior kinematic model to match the target motion.
Zhun-ga Liu +3 more
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On Tracking a Maneuvering Target in Clutter
IEEE Transactions on Aerospace and Electronic Systems, 1984A new technique for tracking a maneuvering target in a cluttered environment is developed. This approach does not rely on a statistical description of the maneuver as a random process. Instead, the state model for the target is changed when a maneuver is detected.
K. Birmiwal, Y. Bar-Shelom
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Multi-Frame Track-Before-Detect Algorithm for Maneuvering Target Tracking
IEEE Transactions on Vehicular Technology, 2020Multi-frame track-before-detect (MF-TBD) is a model-based batch processing method. Assuming a particular model for the evolution of target states (e.g.
Wei Yi +4 more
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A Novel Transformer-Aided Multiple Model Algorithm for Maneuvering Target Tracking
IEEE Sensors JournalIn the domain of maneuvering target tracking, conventional algorithms frequently utilize multiple predefined mathematical models to approximate target motion.
Benqi Zhao +5 more
semanticscholar +1 more source
Maneuvering Target Tracking With Event-Based Mixture Kalman Filter in Mobile Sensor Networks
IEEE Transactions on Cybernetics, 2020In this paper, the distributed remote state estimation problem for conditional dynamic linear systems in mobile sensor networks with an event-triggered mechanism is investigated.
Hao Zhang +3 more
semanticscholar +1 more source
Auxiliary particle filters for tracking a maneuvering target
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002We consider the recursive state estimation of a highly maneuverable target. We apply optimal recursive Bayesian filters directly to the nonlinear target model. We present novel sequential simulation based algorithms developed explicitly for the maneuvering target tracking problem.
Rickard Karlsson, Niclas Bergman
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Particle filters for maneuvering target tracking problem
Signal Processing, 2006In this paper, we address the target tracking problem for the case of maneuvering target, including single target and multiple target tracking. We propose a suitable model to characterize the maneuvering acceleration and develop a state space model to describe the maneuvering target tracking problem.
Yihua Yu, QianSheng Cheng
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Adaptive tracking of maneuvering targets
IEEE Transactions on Automatic Control, 1968A means is suggested heuristically by which Kalman sequential estimation can be made adaptive to target maneuvers without the sacrifice of tracking accuracy in the nonmaneuvering portions of a trajectory. The adaptation requires backsliding in the gain schedule and reprocessing of the most recent several measurements.
J. Demetry, H. Titus
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Hierarchical Dirichlet processes for tracking maneuvering targets
2007 10th International Conference on Information Fusion, 2007We consider the problem of state estimation for a dynamic system driven by unobserved, correlated inputs. We model these inputs via an uncertain set of temporally correlated dynamic models, where this uncertainty includes the number of modes, their associated statistics, and the rate of mode transitions.
Emily B. Fox +2 more
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