43 search results - page 2 / 9 » Approximating state estimation in multiagent settings using ... |
CAEPIA
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In recent years, particle filters have emerged as a useful tool that enables the application of Bayesian reasoning to problems requiring dynamic state estimation. The ef...
NIPS
2001
13 years 6 months ago
2001
Over the last years, particle filters have been applied with great success to a variety of state estimation problems. We present a statistical approach to increasing the efficienc...
DAGSTUHL
2007
13 years 6 months ago
2007
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...