{"product_id":"sensor-fusion-approaches-for-positioning-navigation-and-mapping","title":"Sensor Fusion Approaches for Positioning, Navigation, and Mapping","description":"\u003cp\u003e\u003cb\u003eUnique exploration of the integration of multi-sensor approaches in navigation and positioning technologies.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSensor Fusion Approaches for Positioning, Navigation, and Mapping\u003c\/i\u003e discusses the fundamental concepts and practical implementation of sensor fusion in positioning and mapping technology, explaining the integration of inertial sensors, radio positioning systems, visual sensors, depth sensors, radar measurements, and LiDAR measurements. The book includes case studies on ground wheeled vehicles, drones, and wearable devices to demonstrate the presented concepts. \u003c\/p\u003e\u003cp\u003eTo aid in reader comprehension and provide readers with hands-on training in sensor fusion, pedagogical features are included throughout the text: block diagrams, photographs, plot graphs, examples, solved problems, case studies, sample codes with instruction manuals, and guided tutorials. \u003c\/p\u003e\u003cp\u003eRather than simply addressing a specific sensor or problem domain without much focus on the big picture of sensor fusion and integration, the book utilizes a holistic and comprehensive approach to enable readers to fully grasp interrelated concepts. \u003c\/p\u003e\u003cp\u003eWritten by a highly qualified author, \u003ci\u003eSensor Fusion Approaches for Positioning, Navigation, and Mapping\u003c\/i\u003e discusses sample topics such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e Mathematical background, covering linear algebra, Euclidean space, coordinate frames, rotation and transformation, quaternion, and lie groups algebra.\u003c\/li\u003e \u003cli\u003e Kinematics of rigid platforms in 3D space, covering motion modeling in rotating and non-rotating frames and under gravity field, and different representations of position, velocity, and orientation.\u003c\/li\u003e \u003cli\u003e Signals and systems, covering measurements, and noise, probability concepts, random processes, signal processing, linear dynamic systems, and stochastic systems.\u003c\/li\u003e \u003cli\u003e Theory, measurements, and signal processing of state-of-the-art positioning and mapping sensors\/systems covering inertial sensors, radio positioning systems, ranging and detection sensors, and imaging sensors.\u003c\/li\u003e \u003cli\u003e State Estimation and Sensor Fusion methods covering filtering-based methods and learning-based approaches.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eA comprehensive introductory text on the subject, \u003ci\u003eSensor Fusion Approaches for Positioning, Navigation, and Mapping\u003c\/i\u003e enables students to grasp the fundamentals of the subject and support their learning via ample pedagogical features. Practicing robotics and navigation systems engineers can implement included sensor fusion algorithms on practical platforms.\u003c\/p\u003e","brand":"Mohamed M. Atia","offers":[{"title":"Default Title","offer_id":42818267381821,"sku":"9781394155262","price":216.86,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9781394155262_4dac211a-f7c7-484f-8a13-68b6b301c8c7.jpg?v=1766918060","url":"https:\/\/www.palmleaf.com.au\/products\/sensor-fusion-approaches-for-positioning-navigation-and-mapping","provider":"Palmleaf","version":"1.0","type":"link"}