{"product_id":"statistical-sensor-fusion","title":"Statistical sensor fusion","description":"Sensor fusion deals with merging information from two or more sensors, where the area of statistical signal processing provides a powerful tool­box to attack both theoretical and practical problems.\u003cbr\u003eThe objective of this book is to explain state of the art theory and algo­rithms in statistical sensor fusion, covering estimation, detection and non­linear filtering theory with applications to localization, navi­gation and tracking problems. The book starts with a review of the theory on linear and nonlinear estimation, with a focus on sensor network applications. Then, general nonlinear filter theory is surveyed with a particular attention to different variants of the Kalman filter and the particle filter. Complexity and implementation issues are discussed in detail. Simultaneous localization and mapping (SLAM) is used as a challenging application area of high-dimensional nonlinear filtering problems.\u003cbr\u003eThe book spans the whole range from mathematical foundations pro­vided in extensive appendices, to real-world problems covered in a part surveying standard sensors, motion models and applications in this field.\u003cbr\u003eAll models and algorithms are available as object-oriented Matlab code with an extensive data file library, and the examples, which are richly used to illustrate the theory, are supplemented by fully reproducible Matlab code.\u003cbr\u003e","brand":"Studentlitteratur AB","offers":[{"title":"Default Title","offer_id":46605602685263,"sku":"9789144127248","price":70.95,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0061\/0372\/8217\/files\/9789144127248_1-statistical-sensor-fusion.jpg?v=1743913066","url":"https:\/\/www.suomalainen.com\/products\/statistical-sensor-fusion","provider":"Suomalainen.com","version":"1.0","type":"link"}