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The paper proposed a robust optimum thresholding method based on local intensity mapping(LIM), class uncertainty and region stability theories to segment fuzzy and noisy images. First of all, the intensities of an image would be mapped into another intensity space by LIM which could decrease the influence of noise and uneven intensity distribution. Then, the intensity-based class uncertainty is applied...
In this paper, we present an approach to simultaneous localization and mapping (SLAM) for RGB-D cameras like the Microsoft Kinectv2 that is capable of reconstructing volumetric 3D map without the aid of a graphics processing unit (GPU). For many robots, including flying robots and ground mobile robots, most of them build 3D maps, such as sparse or dense point cloud. However, these maps can not give...
This paper addresses the dissipative filtering problem for a class of Markov jump Lur'e systems with uncertain transition probabilities in discrete-time domain. The uncertain characteristic of the transition probability matrix is modelled in accordance with the Cartesian product of simplexes, called multi-simplex. A full-order filter is designed such that the resulting error systems are stochastically...
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