Multiple robots data association with fault diagnosis in explosion test
暂无分享,去创建一个
[1] Wolfram Burgard,et al. An experimental comparison of localization methods , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).
[2] Wolfram Burgard,et al. Tracking multiple moving objects with a mobile robot , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] Ingemar J. Cox,et al. A review of statistical data association techniques for motion correspondence , 1993, International Journal of Computer Vision.
[4] Vincent Danos,et al. Rule-Based Modelling of Cellular Signalling , 2007, CONCUR.
[5] Antoine Rauzy,et al. New algorithms for fault trees analysis , 1993 .
[6] Ingemar J. Cox,et al. An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and Its Evaluation for the Purpose of Visual Tracking , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[7] Yaguo Lei,et al. New clustering algorithm-based fault diagnosis using compensation distance evaluation technique , 2008 .
[8] Wolfram Burgard,et al. Tracking multiple moving targets with a mobile robot using particle filters and statistical data association , 2001, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164).