Sensor Fusion Approaches For Positioning Navigation And Mapping
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Sensor Fusion Approaches for Positioning, Navigation, and Mapping
Unique exploration of the integration of multi-sensor approaches in navigation and positioning technologies. Sensor Fusion Approaches for Positioning, Navigation, and Mapping 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. To 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. Rather than simply addressing a specific sensor or problem domain without much focus on the big picture of sensor fusion and integration, Sensor Fusion Approaches for Positioning, Navigation, and Mapping utilizes a holistic and comprehensive approach to enable readers to fully grasp interrelated concepts. Written by a highly qualified author, Sensor Fusion Approaches for Positioning, Navigation, and Mapping discusses sample topics such as: Mathematical background, covering linear algebra, Euclidean space, coordinate frames, rotation and transformation, quaternion, and lie groups algebra. 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. Signals and systems, covering measurements, and noise, probability concepts, random processes, signal processing, linear dynamic systems, and stochastic systems. 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. State Estimation and Sensor Fusion methods covering filtering-based methods and learning-based approaches. A comprehensive introductory text on the subject, Sensor Fusion Approaches for Positioning, Navigation, and Mapping 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.
Sensor Fusion Approaches for Positioning, Navigation, and Mapping
Unique exploration of the integration of multi-sensor approaches in navigation and positioning technologies. Sensor Fusion Approaches for Positioning, Navigation, and Mapping 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. To 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. Rather 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. Written by a highly qualified author, Sensor Fusion Approaches for Positioning, Navigation, and Mapping discusses sample topics such as: Mathematical background, covering linear algebra, Euclidean space, coordinate frames, rotation and transformation, quaternion, and lie groups algebra. 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. Signals and systems, covering measurements, and noise, probability concepts, random processes, signal processing, linear dynamic systems, and stochastic systems. 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. State Estimation and Sensor Fusion methods covering filtering-based methods and learning-based approaches. A comprehensive introductory text on the subject, Sensor Fusion Approaches for Positioning, Navigation, and Mapping 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.
Smart Sensors
The reference text comprehensively discusses micro-electromechanical systems and nanoelectromechanical systems-based design of smart sensors, fabrication techniques for smart sensors, and smart wearable stress monitoring devices for autistic children. It covers applications of smart sensors in diverse areas including medical, agricultural, space, automobiles, manufacturing, security, and surveillance. This book: Discuss design parameters of micro-electromechanical systems and nanoelectromechanical systems-based smart sensors. Covers smart sensors for conditioning and monitoring of electrical machines, robotic systems, and electric vehicles. Highlights the importance of using smart sensors in localization, navigation, and mapping. Explains efficient mobile Ad-hoc network using predictive link sustainability model, and smart sensor technologies for the Internet of Things applications. Illustrates the graded node deployment with improved M-LEACH protocol to increase the lifetime of wireless sensor networks. It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, sensor technology, nanoscience, and nanotechnology.