Particle filtering for multi-target tracking and sensor management

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 1 - Trang 474-481 vol.1
A. Doucet1, B.-N. Vo1, C. Andrieu1, M. Davy1
1Department of Electrical & Electronic Engineering, University of Melbourne, VIC, Australia

Tóm tắt

In this paper, we present computational methods based on particle filters to address the multi-target tracking and sensor management problems. We present a jump Markov model of multi-target systems and an efficient particle filtering algorithm to perform inference. In addition, we also present a formulation of the sensor management problem and its solution using particle methods.

Từ khóa

#Particle tracking #Target tracking #Particle filters #Sensor fusion #Sensor systems #State estimation #Nonlinear dynamical systems #Engineering management #Filtering algorithms #Optimal control

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Thông tin xuất bản

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

Tập 1

474-481 vol.1

Thông tin tác giả