In this study it is shown that both membrane-bound and soluble forms of signaling lymphocytic activation molecule (SLAM) induce proliferation and Ig synthesis by activated human B cells. Activated B cells express the membrane-bound form of SLAM (mSLAM), the soluble (s) and the cytoplasmic (c) isoforms of SLAM, and the expression levels of mSLAM on B cells are rapidly upregulated after activatio...

In this paper we describe the Combined Filter, a judicious combination of Extended Kalman (EKF) and Extended Information filters (EIF) that can be used to execute highly efficient SLAM in large environments. With the CF, filter updates can be executed in as low as O(logn) as compared with other EKF and EIF based algorithms: O(n2) for Map Joining SLAM, O(n) for Divide and Conquer (D&C) SLAM, and...

In this paper, EKF Based A-SLAM concept is discussed in detail by presenting the formulas and MATLAB Simulink model, along with results. The UAV kinematic model and state-observation models for the EKF Based A-SLAM are developed to analyze the consistency. The covariance value caused by the EKF structure is analyzed. This value was calculated by filtering with error between the UAV’s actual and...

This paper proposes a self-taught classifier of gateways for hybrid SLAM. Gateways are detected and recognized by the self-taught classifier, which is a SVM classifier and self-taught in that its training samples are produced and labeled without user’s intervention. Since the detection of gateways at the topological boundaries of an acquired metric map reduces computational complexity in partit...

SLAM is a very popular research stream in computer vision and robotics nowadays. For more effective SLAM implementation it is necessary to have reliable information about the environment, also the data should be aligned and scaled according to the real world coordinate system. Monocular SLAM research is an attractive sub-stream, because of the low equipment cost, size and weight. In this paper ...

Catamaran added V-like center bow (INCAT) is investigated as a wave-piercing vessel to decrease vertical acceleration and diminish slam events during sea-keeping operation. The catamaran and the vessel bow were modeled and the vertical acceleration of model was validated with experimenal test. The geometry of V-like center-bow such as slope of center bow and elevation from demi-hulls was optimi...

In Distributed Simultaneous Localization and Mapping (SLAM), multiple agents generate a global map of the environment while each performing its local SLAM operation. One of the main challenges is to identify overlapping maps, especially when agents do not know their relative starting positions. In this paper we are introducing a distributed framework which uses an appearance based method to ide...

Many progresses have been made on SLAM so far, and various visual SLAM approaches have proven their effectiveness in realistic scenarios. However, there are many other improvements that can be made to SLAM thanks to vision, essentially for the mapping and data association functionalities. This paper sketches some of these improvements, on the basis of recent work in the literature and of on-goi...

Simultaneous localization and mapping (SLAM) is an important problem to solve in robotics theory in order to build truly autonomous mobile robots. This work presents a novel method for implementing a SLAM system based on a single camera sensor. The SLAM with a single camera, or monocular SLAM, is probably one of the most complex SLAM variants. In this case, a single camera, which is freely movi...