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In this work, probabilistic methods for combining multiple sensors utilizing multi-sensor fusion for robust and precise localization and mapping in heterogeneous outdoor environments are presented. Aspects of increasing the reliability of landmark recognition are highlighted, as well as the integration of additional absolute and relative sensors using advanced filtering techniques.

Maths for computer scientists --- Mobile Robotersysteme --- Multi-Sensor-Fusion --- Lokalisierung --- Kartierung --- SLAM --- Mobile robotic systems --- multi-sensor fusion --- localization --- mapping

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Data fusion is a research area that is growing rapidly due to the fact that it provides means for combining pieces of information coming from different sources/sensors, resulting in ameliorated overall system performance (improved decision making, increased detection capabilities, diminished number of false alarms, improved reliability in various situations at hand) with respect to separate sensors/sources. Different data fusion methods have been developed in order to optimize the overall system output in a variety of applications for which data fusion might be useful: security (humanitarian, military), medical diagnosis, environmental monitoring, remote sensing, robotics, etc.

Detectors. --- Multisensor data fusion. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Sensors --- Engineering instruments --- Physical instruments --- Computer networking & communications

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Sensor networks. --- Multisensor data fusion. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Networks, Sensor --- Detectors --- Context-aware computing --- Multisensor data fusion

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Auditory behavior, perception, and cognition are all shaped by information from other sensory systems. This volume examines this multi-sensory view of auditory function at levels of analysis ranging from the single neuron to neuroimaging in human clinical populations. Visual Influence on Auditory Perception Adrian K.C. Lee and Mark T. Wallace Cue Combination within a Bayesian Framework David Alais and David Burr Toward a Model of Auditory-Visual Speech Intelligibility Ken W. Grant and Joshua G. W. Bernstein An Object-based Interpretation of Audiovisual Processing Adrian K.C. Lee, Ross K. Maddox, and Jennifer K. Bizley Hearing in a “Moving” Visual World: Coordinate Transformations Along the Auditory Pathway Shawn M. Willett, Jennifer M. Groh, Ross K. Maddox Multisensory Processing in the Auditory Cortex Andrew J. King, Amy Hammond-Kenny, Fernando R. Nodal Audiovisual Integration in the Primate Prefrontal Cortex Bethany Plakke and Lizabeth M. Romanski Using Multisensory Integration to Understand Human Auditory Cortex Michael S. Beauchamp Combining Voice and Face Content in the Primate Temporal Lobe Catherine Perrodin and Christopher I. Petkov Neural Network Dynamics and Audiovisual Integration Julian Keil and Daniel Senkowski Cross-Modal Learning in the Auditory System Patrick Bruns and Brigitte Röder Multisensory Processing Differences in Individuals with Autism Spectrum Disorder Sarah H. Baum Miller, Mark T. Wallace Adrian K.C. Lee is Associate Professor in the Department of Speech & Hearing Sciences and the Institute for Learning and Brain Sciences at the University of Washington, Seattle Mark T. Wallace is the Louise B McGavock Endowed Chair and Professor in the Departments of Hearing and Speech Sciences, Psychiatry, Psychology and Director of the Vanderbilt Brain Institute at Vanderbilt University, Nashville Allison B. Coffin is Associate Professor in the Department of Integrative Physiology and Neuroscience at Washington State University, Vancouver, WA Arthur N. Popper is Professor Emeritus and research professor in the Department of Biology at the University of Maryland, College Park Richard R. Fay is Distinguished Research Professor of Psychology at Loyola University, Chicago The chapter “Multisensory Processing in the Auditory Cortex” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Multisensor data fusion. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Otorhinolaryngology. --- Neurosciences. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Ear, nose, and throat diseases --- ENT diseases --- Otorhinolaryngology --- Medicine

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The application of sensor technology has brought considerable interest in the area of image fusion. Written by leading experts in the field, this book brings together in one volume the most recent algorithms, design techniques and applications in the topical field of image fusion. The applications are drawn from military, medical and civilian areas and give practical advice and pointers to the development of future applications in a variety of fields.This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-da

Image processing --- Multisensor data fusion. --- Data processing. --- Digital techniques. --- Data fusion --- Multi-sensor fusion --- Sensor fusion --- Signal processing --- Sensor networks --- Digital image processing --- Digital electronics --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing