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X. Rong Li
Researcher at University of New Orleans
Publications - 284
Citations - 13139
X. Rong Li is an academic researcher from University of New Orleans. The author has contributed to research in topics: Estimator & Gaussian. The author has an hindex of 38, co-authored 278 publications receiving 12000 citations. Previous affiliations of X. Rong Li include University of Connecticut & University of Hartford.
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Estimation with Applications to Tracking and Navigation
TL;DR: Estimation with Applications to Tracking and Navigation treats the estimation of various quantities from inherently inaccurate remote observations using a balanced combination of linear systems, probability, and statistics.
Journal ArticleDOI
Survey of maneuvering target tracking. Part I. Dynamic models
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: A comprehensive and up-to-date survey of the techniques for tracking maneuvering targets without addressing the measurement-origin uncertainty is presented in this article, including 2D and 3D maneuver models as well as coordinate-uncoupled generic models for target motion.
Journal ArticleDOI
Survey of maneuvering target tracking. Part V. Multiple-model methods
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: A comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty is presented in this article, which is centered around three generations of algorithms: autonomous, cooperating, and variable structure.
A Survey of Maneuvering Target Tracking—Part III: Measurement Models
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: In this paper, the authors provide a comprehensive survey of the techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty, including Cartesian, sensor measurement, their mixed, and other coordinates.
Proceedings ArticleDOI
Survey of maneuvering target tracking: dynamic models
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: In this paper, the authors provide a comprehensive and up-to-date survey of the problems and techniques of tracking maneuvering targets in the absence of the measurement-origin uncertainty.