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Tracking robusto de robots usando random finite sets
(Universidad de Chile, 2018)
Esta tesis se enfoca en resolver el problema del multi-target tracking en ambientes altamente dinámicos, y utilizando robots que poseen baja capacidad de procesamiento y sensores limi- tados. Para esto se utiliza un nuevo ...
Conditions for the finiteness of the moments of the volume of level sets
(Bernoulli Society for Mathematical Statistics and Probability, 2019)
Let X(t) be a Gaussian random field R d → R. Using the notion of (d − 1)-integral geometric measures, we establish a relation between (a) the volume of level sets, and (b) the number of crossings of the restriction of the ...
Local dimension and finite time prediction in spatiotemporal chaotic systems
(2003-06-01)
Predictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and ...
Local dimension and finite time prediction in spatiotemporal chaotic systems
(2003-06-01)
Predictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and ...
On multivalued fuzzy entropies
(Elsevier Science BvAmsterdamHolanda, 1997)
Predicting random effects with an expanded finite population mixed model
(ELSEVIER SCIENCE BV, 2008)
Prediction of random effects is an important problem with expanding applications. In the simplest context, the problem corresponds to prediction of the latent value (the mean) of a realized cluster selected via two-stage ...
δ-Generalized Labeled Multi-Bernoulli Simultaneous Localization and Mapping with an Optimal Kernel-Based Particle Filtering Approach
(NLM (Medline), 2019)
Under realistic environmental conditions, heuristic-based data association and map management routines often result in divergent map and trajectory estimates in robotic Simultaneous Localization And Mapping (SLAM). To ...