A Joint Probability Data Association Filter Algorithm for Multiple Robot Tracking Problems
暂无分享,去创建一个
[1] Fredrik Gustafsson,et al. Particle filters for positioning, navigation, and tracking , 2002, IEEE Trans. Signal Process..
[2] Petros G. Voulgaris,et al. On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..
[3] X. Rong Li,et al. A comparative study of multiple-model algorithms for maneuvering target tracking , 2005, SPIE Defense + Commercial Sensing.
[4] Yaakov Bar-Shalom,et al. Sonar tracking of multiple targets using joint probabilistic data association , 1983 .
[5] W. Ng,et al. Online Multiple Target Tracking and Sensor Registration Using Sequential Monte Carlo Methods , 2007, 2007 IEEE Aerospace Conference.
[6] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[7] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[8] Christophe Andrieu,et al. Particle methods for change detection, system identification, and control , 2004, Proceedings of the IEEE.
[9] P. Moral,et al. Sequential Monte Carlo samplers , 2002, cond-mat/0212648.
[10] Wolfram Burgard,et al. Particle Filters for Mobile Robot Localization , 2001, Sequential Monte Carlo Methods in Practice.
[11] Jouko Lampinen,et al. Rao-Blackwellized particle filter for multiple target tracking , 2007, Inf. Fusion.
[12] S. Godsill,et al. Monte Carlo filtering for multi target tracking and data association , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[13] Robin J. Evans,et al. Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[14] Li-Xin Wang,et al. A Course In Fuzzy Systems and Control , 1996 .
[15] Roland Siegwart,et al. Introduction to Autonomous Mobile Robots , 2004 .
[16] J. Vermaak,et al. A hybrid approach for online joint detection and tracking for multiple targets , 2005, 2005 IEEE Aerospace Conference.
[17] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[18] Andrew Howard,et al. Multi-robot Simultaneous Localization and Mapping using Particle Filters , 2005, Int. J. Robotics Res..
[19] S. Shankar Sastry,et al. Markov Chain Monte Carlo Data Association for Multiple-Target Tracking , 2005, CDC 2005.
[20] Wolfram Burgard,et al. People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association Filters , 2003, Int. J. Robotics Res..