Pose estimation is one of the vital issues in mobile robot navigation. Odometry data can be fused with absolute position measurements to provide better and more reliable pose estimation. This paper deals with the determination of better relative localization of a two wheeled differential drive robot by means of odometry by considering the influence of parameters namely weight, velocity, wheel p...

This paper presents a new method for endocardial (inner) and epicardial (outer) contour estimation from sequences of echocardiographic images. The framework herein introduced is ne-tuned for parasternal short axis views at the papillary muscle level. The underlying model is probabilistic; it captures the relevant features of the image generation physical mechanisms and of the heart morphology. ...

In a network of thousands of nodes, usually densely deployed, it is unlikely that the designer will determine the position of each node. To process sensor data, however, it is necessary to know where the data come from. Equipping every node with a global positioning system (GPS) is currently a costly (in volume, money, and power consumption) solution. Instead, we can estimate node positions rel...

A method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described. Known peer-to-peer communication in the network is modeled as a set of geometric constraints on the node positions. The global solution of a feasibility problem for these constraints yields estimates for the unknown positions of the nodes in the network. Providi...

the network is modeled as a set of geometric constraints on the node positions. The global solution of a feasibility problem for these constraints yields estimates for the unknown positions of the nodes in the network. Providing that the constraints are tight enough, simulation illustrates that this estimate becomes close to the actual node positions. Additionally, a method for placing rectangu...

This paper introduces three novel methods to evaluate attitude and position from vector observations using a vision-based technology camera. The first approach, called Linear Algebra Resection Approach (LARA), solves for attitude and position simultaneously and can be used in the lost-in-space case, when no approximate solution is available. The solution is shown to be the left eigenvector asso...

In this paper w e study distributed position estimation for sensor net w orks.The fundamentals of distributed position estimation algorithms are presented. Two types of ellipsoid outer-approximation algorithms are employed to estimate the positions of unknown sensors. P olytopeouter-approximation algorithm is also investigated. Numerical experiments demonstrate the e ectiveness of the algorithm...

Indexing techniques usually are used in modelbased object recognition and ray tracing algorithms. In this paper we present a new method for estimating the threedimensional position of a subject (resp. object) in a circumscribed space based on an indexing method. We construct two and three-dimensional indices of a space, which are used to estimate the three-dimensional position by an interpolati...

Wireless camera sensor networks have to balance the conflicting challenges imposed by the detection performance, latency and lifetime requirements in surveillance applications. While previous studies for camera sensor networks have addressed these issues separately, they have not quantified the trade-offs between these requirements. In this paper, we discuss the design and implementation of SCO...

Abstract. In dentistry there is a problem of measuring temporomandibular joint head (condyle) trajectory relative to the skull. In this paper we propose a noninvasive photogrammetric method for this measurement. A camera is aimed at two known targets, the first is attached to the upper teeth (that is on the skull), the second is mounted on the lower teeth (on the jawbone). The relative position...