Results 31 to 40 of about 86,785 (302)
Rate of Escape of Random Walks on Regular Languages and Free Products by Amalgamation of Finite Groups [PDF]
We consider random walks on the set of all words over a finite alphabet such that in each step only the last two letters of the current word may be modified and only one letter may be adjoined or deleted.
Lorenz A. Gilch
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Random sets of finite perimeter [PDF]
An approach to modelling random sets with locally finite perimeter as random elements in the corresponding subspace ofL1functions is suggested. A Crofton formula for flat sections of the perimeter is shown. Finally, random processes of particles with finite perimeter are introduced and it is shown that their union sets are random sets with locally ...
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This paper studies the problem of multiple vehicle cooperative localization with spatial registration in the formulation of the probability hypothesis density (PHD) filter.
Feihu Zhang +2 more
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Probability on Finite Set and Real-Valued Random Variables [PDF]
Probability on Finite Set and Real-Valued Random Variables In the various branches of science, probability and randomness provide us with useful theoretical frameworks. The Formalized Mathematics has already published some articles concerning the probability: [23], [24], [25], and [30].
Hiroyuki Okazaki, Yasunari Shidama
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Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
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Knowledge about the indoor occupancy is one of the important sources of information to design smart buildings. In some applications, the number of occupants in each zone is required.
Ramtin Rabiee, Johannes Karlsson
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Smooth Variable Structure Filter in Random Finite Set Applications
Data association and filter robustness are two key problems for general multiple target tracking. Classic data association methods have high computational complexity, and the gold standard Kalman Filter (KF) suffers when the motion model does not match ...
Howard Zhang +3 more
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An Ant–Based Filtering Random–Finite–Set Approach to Simultaneous Localization and Mapping
Inspired by ant foraging, as well as modeling of the feature map and measurements as random finite sets, a novel formulation in an ant colony framework is proposed to jointly estimate the map and the vehicle trajectory so as to solve a feature-based ...
Li Demeng +4 more
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Integral Representation of Coherent Lower Previsions by Super-Additive Integrals
Coherent lower previsions generalize the expected values and they are defined on the class of all real random variables on a finite non-empty set. Well known construction of coherent lower previsions by means of lower probabilities, or by means of super ...
Serena Doria, Radko Mesiar, Adam Šeliga
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Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang +3 more
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