Survey of maneuvering target tracking. Part I. Dynamic models
By X. Rong Li, Vesselin P. Jilkov. 2003
2,379 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/6216e24a44aef0908dafac35d9eabe388250eea7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Anindya Sao Paul
- LI X.RONG
- Vesselin P. Jilkov
- Eric A. Wan
- Marcus Baum
- Karl Granström
- Fredrik K. Gustafsson
- Alan S. Willsky
In Artificial Intelligence
- Alan S. Willsky
- Erik B. Sudderth
- Emily B. Fox
- Michael I. Jordan
- Kris M. Kitani
- Thomas Bo Schön
- Fredrik K. Gustafsson
- Anindya Sao Paul
Citations in the corpus
- Bayesian Nonparametric Inference of Switching Dynamic Linear Models (2010, methodology): “One method of desc ribing a maneuvering target is to consider the control input as a random process [46].”
- Extended Object Tracking: Introduction, Overview and Applications (2016, methodology): “In many cases the dynamics for the position and the kinematic states can be modelled using any of the models that are standard in point object tracking, see [115] for a comprehensive overview.”
- RSSI-Based Indoor Localization and Tracking Using Sigma-Point Kalman Smoothers (2009, methodology): “A simple random walk model on the velocities [46], [47] is used for predicting walking motion.”
- Survey of Maneuvering Target Tracking. Part II: Motion Models of Ballistic and Space Targets (2010, methodology): “To supplement [64], a survey of these models is presented here.”
- Human motion trajectory prediction: a survey (2019, background): “See (Li and Jilkov 2003, 2010) for a survey on physics-based motion models for target tracking.”
- Using labeled data to evaluate change detectors in a multivariate streaming environment (2009, neutral): “But it can be seen that our Fas-tICENet(acc) still achieves the highest accuracy (i.e., 82.34 % mIoU), While FastICENet has greatly improved the speed to 159.82 FPS, it still maintains high accuracy (i.e., 81.77 % mIoU).”
- Marginalized particle filters for mixed linear/nonlinear state-space models (2005, background): “As is explained in [29] and [30], it is common that the system model is almost linear, whereas the measurement model is severely nonlinear.”
- Maritime Traffic Monitoring Based on Vessel Detection, Tracking, State Estimation, and Trajectory Prediction (2012, background): “State estimation and navigation trajectory prediction methods usually resort to mathematical models [31].”
- Survey of maneuvering target tracking. Part V. Multiple-model methods (2005, methodology): “Part I [209] and Part II [205] deal with general target motion models and ballistic target motion models, respectively.”