Monte Carlo filtering on Lie groups

Proceedings of the IEEE Conference on Decision and Control

Volumn 1, Issue , 2000, Pages 304-309

  Chiuso, A ^a   Soatto, S ^a  

^a UNIVERSITY OF PADOVA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BROWNIAN MOVEMENT; COMPUTATIONAL COMPLEXITY; DISCRETE TIME CONTROL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MONTE CARLO METHODS;

LIE GROUPS; MONTE CARLO FILTERING;

NONLINEAR FILTERING;

EID: 0034439545     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. A differential geometric approach to nonlinear filtering: The projection filter
2. Lie group methods and the approximation of the exponential map
3. Probabilistic modelling and stochastic algorithms for visual localisation and tracking
4. Partitioned sampling, articulated objects, and interface-quality hand tracking
5. The geometry of algorithms with orthogonality constraints
6. On Markov chain Monte Carlo methods for nonlinear and non Gaussian state-space models
7. A randomized kinematics-based approach to pharmacophore-constrained conformational search and database screening
8. A theoretical framework for sequential importance sampling and resampling
9. Markov chain Monte Carlo methods for tracking a maneuvering target in clutter
10. The use of multi-stage sampling schemes in Monte Carlo computations
11. Existence and non-existence of finite-dimensional filters
12. Motion estimation via dynamic vision
13. On the development of practical nonlinear filters
14. Recursive Bayesian estimation using Gaussian sums
15. A Bayesian approach to geometric subspace estimation