75 search results - page 3 / 15 » KLD-Sampling: Adaptive Particle Filters |
KES
2007
Springer
14 years 9 days ago
2007
Springer
Localization is one of the important topics in robotics and it is essential to execute a mission. Most problems in the class of localization are due to uncertainties in the modelin...
SAC
2008
ACM
13 years 5 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
NIPS
2001
13 years 7 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...
ICRA
2003
IEEE
13 years 11 months ago
2003
IEEE
— Particle filters have recently been applied with great success to mobile robot localization. This success is mostly due to their simplicity and their ability to represent arbi...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...