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A new technique for locating and tracking locations is presented. Optical data collected during motion is used to match the current surroundings with a point on a previously recorded ??optical map?? of locations. Sensing hardware and location algorithms are covered and the results from real-world street navigation are presented.
Power generation from renewable and sustainable sources is an important field of technology development owing to the increasing costs (both economically and environmentally) of fired generation. Most research associated with alternative forms of power generation have concentrated on relatively high efficiency systems, as this makes commercial realisation more readily achievable. A new research programme...
In this paper we address the problem of image restoration of extended astronomical objects, where the effects of inhomogeneous random media, such as atmospheric turbulence, result in distortion over the pupil plane. Distortions are usually expressed in terms of the point spread function (PSF) and can be used to restore an image with the application of a deconvolution algorithm. Since the PSF is generally...
Research into various forms of sustainable power generation is required to address the rising problems associated with fossil fuel limitations. A new research programme aims to show that electric power generation using low-grade heat and Stirling engine technology can be made commercially viable. Using the Modified Beale Number, and preliminary software modelling, an initial prototype has been designed...
A new method is presented which provides prediction of the spatially variant point spread function for the restoration of astronomical images, distorted by atmospheric turbulence when viewed using ground-based telescopes. Our approach uses reservoir computing to firstly learn the spatio-temporal evolution of aberrations caused by turbulence, and secondly, predicts the space-varying point spread function...
Motivation for this research is the real-time restoration of faint astronomical images through turbulence over a large field-of-view. A simulation platform was developed to predict the centroid of a science object, convolved through multiple perturbation fields, and projected on to an image plane. Centroid data were selected from various source and target locations and used to train an artificial...
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