We present a method for representing, communicating, and fusing distributed, noisy, and uncertain observations of an object by multiple robots. The approach relies on re-parameterization the two-dimensional Gaussian distribution to correspond more naturally to a robots’ observation space. The approach enables two or more observers to achieve greater effective sensor coverage of the environment ...

Enhancement of computing ability of the smart phones the new use of the said device focus on the eye gaze estimation. The geometrical eye gaze estimation method measure the relation between camera, user’s eye and smart device. The illumination source on smart device generate glint on capture pupil image of the user’s eye. From the relation of glint and pupil center the eye gaze position is capt...

1. Image processing based position estimation for axial dimension 2. Kalman-filter based position estimation in the transverse plane 3. Details on microfluidic cell fabrication 4. SI Figure 1. Selected image frames obtained using sCMOS camera together with the corresponding binary transformation used to estimate particle axial position 5. SI Figure 2. Photograph of the transverse plane microflu...

In this paper, we re-examine the RSSI measurement model for location estimation and provide the first detailed formulation of the probability distribution of the position of a sensor node. We also show how to use this probabilistic model to efficiently compute a good estimation of the position of the sensor node by sampling multiple readings from the beacons. The results of the simulation of ou...

Secure localization is a critical issue in wireless sensor networks. Providing a certain degree of localization accuracy at the presence of malicious beacons becomes a challenging task. Robust Position Estimation (ROPE) is one of the secure localization systems. However, this system suffers from compromised network entities. Trust Based Secure Robust Position Estimation filters the compromised ...

position estimation system based on GPS, that uses a fuzzy sensor fusion technique. A fuzzy path tracking algorithm is also proposed. Both systems have been implemented in the ROMEO-4R vehicle developed at the University of Seville. ÃÃDIUSP9V88DPI Path tracking of autonomous vehicles consists in the generation of the steering commands for a vehicle to follow autonomously a given path taking int...

Mosaic-based vehicle position estimation is a way of tracking the motion of a vehicle using real-time imagery. A vehicle equipped with a downward-looking camera, for example, can track its motion by matching camera images with a high resolution “map” image of the floor. This paper describes our current technique for constructing such a map. The challenges of the map building process include col...

The one-dimensional bearing estimation problem of linearly periodic arrays with sensor position errors has been tackled by the Toeplitz approximation method (TAM), iterative TAM, modified TAM, and iterative MTAM without calibrating the sensor positions. This paper extends these methods to the twodimensional situation using a uniform planar array with sensor position errors to estimate the 2-D a...

Abstract Nowadays, robust position, navigation and timing (PNT) information becomes an necessary foundation of e-navigation and requires the trials and development of a new system to improve marine navigation. Positioning estimation methods and their implementation are being investigated in the literature due to their importance in safety and national security services. In this paper, we propos...

In recent years, there has been increased interest in characterizing and extracting 3D information from 2D images for human tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In the proposed method, 2D features of target object is back-projected into the 3D scene space where its coordinate system is given by a recta...