SENSING FOR MOBILE OBJECTS - Managing and Mining Sensor Data - page 343

[73] T. Sellis, N. Roussopoulos, and C. Faloutsos. The R+-Tree: a
Dynamic Index for Multi-Dimensional Objects. In VLDB , 1987.
[74] D. Simon. Kalman filtering with state constraints: a survey of
linear and nonlinear algorithms. Control Theory and Applications,
IET , 4:1303 - 1318, 2010.
[75] Z. Song and N. Roussopoulos. Seb-tree: An approach to index
continuously moving objects. In Mobile Data Management , pages
340-344. Springer, 2003.
[76] Y. Tao, C. Faloutsos, D. Papadias, and B. Liu. Prediction and
indexing of moving objects with unknown motion patterns. In
SIGMOD . ACM Press, 2004.
[77] Y. Tao, D. Papadias, and Q. Shen. Continuous nearest neighbor
search. In VLDB , pages 287-298. VLDB Endowment, 2002.
[78] Y. Tao, D. Papadias, and J. Sun. The TPR*-Tree: An Optimized
Spatio-Temporal Access Method for Predictive Queries. In VLDB ,
2003.
[79] A. Thiagarajan, L. Ravindranath, H. Balakrishnan, S. Madden,
and L. Girod. Accurate, Low-Energy Trajectory Mapping for Mo-
bile Devices. In Networked Systems Design and Implementation
(NSDI) , 2011.
[80] G. Trajcevski. Probabilistic range queries in moving objects
databases with uncertainty. In MobiDE , pages 39-45. ACM Press,
2003.
[81] G. Trajcevski, R. Tamassia, P. Scheuermann, and I. F. Cruz. Con-
tinuous Probabilistic Nearest-Neighbor Queries for Uncertain Tra-
jectories. In EDBT , 2009.
[82] G. Trajcevski, O. Wolfson, K. Hinrichs, and S. Chamberlain. Man-
aging uncertainty in moving objects databases. ACM Transactions
on Database Systems (TODS) , 29(3):463-507, 2004.
[83] H. Tsai, D. Yang, and M. Chen. Mining group movement pat-
terns for tracking moving objects eciently. Knowledge and Data
Engineering, IEEE Transactions on , 23(2):266-281, 2011.
[84] M. Uddin, C. Ravishankar, and V. Tsotras. Finding regions of in-
terest from trajectory data. In Mobile Data Management (MDM),
2011 12th IEEE International Conference on , volume 1, pages 39-
48. IEEE, 2011.
[85] M. Ulmke, F. Fkie, and P. Willett. Gaussian Mixture Cardinalized
PHD Filter for Ground Moving Target Tracking. In Information
Fusion , number 3, 2007.