Target Tracking with Bayesian Estimation

We present a Bayesian approach for multiple target tracking. Target location and velocity are deduced probabilistically through a sequence of continuous observations of amplitude and frequency made by Doppler Radar sensors.

[1]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[2]  Hugh F. Durrant-Whyte,et al.  Model-based multi-sensor data fusion , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[3]  Solomon Eyal Shimony,et al.  Bayes Networks for Sonar Sensor Fusion , 1997, UAI.

[4]  Lucy Y. Pao,et al.  Measurement Reconstruction Approach for Distributed Multisensor Fusion , 1996 .

[5]  James Llinas,et al.  Multisensor Data Fusion , 1990 .

[6]  D. W. McMichael,et al.  TRACKER: a sensor fusion simulator for generalised tracking , 1999, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

[7]  Mieczyslaw M. Kokar,et al.  Reference model for data fusion systems , 2000, SPIE Defense + Commercial Sensing.

[8]  T J Hughes Sensor Fusion in a Military Avionics Environment , 1989 .

[9]  Y. Bar-Shalom Tracking and data association , 1988 .

[10]  Lawrence D. Stone,et al.  Bayesian Multiple Target Tracking , 1999 .