1. Y. Salimpour, H. Soltanian-Zadeh, and M. D. Abolhassani, “Extended Kalman filtering of point process observation,” IEEE Engineering in Medicine and Biology Society (EMBS) (2010), pp. 6670–6673.
2. Ding-Jie Xu, Chen Shen, and Feng Shen, “Adaptive variational Bayesian extended Kalman filtering for nonlinear systems,” Instrumentation, Measurement, Computer, Communication and Control (IMCCC) (2013), pp. 1552–1557.
3. M. Montemario, S. Thrun, D. Koller, and B. Wegbreit, “FastSLAM: a factored solution to the simultaneous localization and mapping problem,” Proc. AAAI Nat. Conf. on Artificial Intelligence, Edmonton, Canada (2002), pp. 593–598.
4. K. Murphy, “Bayesian map learning in dynamic environments,” Proc. Conf. on Neural Information Processing System (NIPS), Denver, USA (1999), pp. 1015–1021.
5. A. Doucet, N. Freitas, K. Murphy, and S. Russell, “Rao-Blackwellised particle filtering for dynamic Bayesian networks,” Proc. 16th Conf. on Uncertainty in Artificial Intelligence (2000), pp. 176–183.