Sensor Fusion Made Easy: A Practical Engineer's Guide to Combining Sensors, Estimating State, and Building Reliable Fusion Pipelines - Softcover
Synopsis
Sensor Fusion Made Easy is a practical, engineer-focused guide to building reliable state estimation systems using real-world sensors.
Modern robotics, drones, and autonomous systems depend on combining imperfect data from IMUs, GPS, cameras, LiDAR, and other sensors. Yet most resources on sensor fusion are either too theoretical or too fragmented to apply in real projects. This book bridges that gap.
Designed for working engineers and advanced developers, it takes a hands-on approach to sensor fusion-starting with intuitive concepts and progressing toward production-ready systems.
Inside, you will learn how to:
- Understand and model real sensor noise and failure modes
- Build Kalman Filters from scratch for linear systems
- Apply Extended and Unscented Kalman Filters to nonlinear problems
- Implement complementary filters for embedded systems
- Work with real sensors including IMU, GNSS, cameras, and LiDAR
- Design multi-sensor fusion architectures with fault detection
- Transition from theory to deployable pipelines using ROS
Each concept is presented with clear explanations, practical insights, and fully runnable code examples in Python and C++. You will not only understand how sensor fusion works-you will build systems that actually run, debug them when they fail, and improve them for real-world performance.
By the end of this book, you will have a solid foundation in estimation techniques and the confidence to design robust sensor fusion pipelines for robotics, autonomous vehicles, and embedded applications.
This is not a purely academic textbook. It is a field guide for engineers who need results.
"synopsis" may belong to another edition of this title.
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Sensor Fusion Made Easy (Paperback)
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Paperback. Condition: new. Paperback. Sensor Fusion Made Easy is a practical, engineer-focused guide to building reliable state estimation systems using real-world sensors.Modern robotics, drones, and autonomous systems depend on combining imperfect data from IMUs, GPS, cameras, LiDAR, and other sensors. Yet most resources on sensor fusion are either too theoretical or too fragmented to apply in real projects. This book bridges that gap.Designed for working engineers and advanced developers, it takes a hands-on approach to sensor fusion-starting with intuitive concepts and progressing toward production-ready systems.Inside, you will learn how to: Understand and model real sensor noise and failure modesBuild Kalman Filters from scratch for linear systemsApply Extended and Unscented Kalman Filters to nonlinear problemsImplement complementary filters for embedded systemsWork with real sensors including IMU, GNSS, cameras, and LiDARDesign multi-sensor fusion architectures with fault detectionTransition from theory to deployable pipelines using ROSEach concept is presented with clear explanations, practical insights, and fully runnable code examples in Python and C++. You will not only understand how sensor fusion works-you will build systems that actually run, debug them when they fail, and improve them for real-world performance.By the end of this book, you will have a solid foundation in estimation techniques and the confidence to design robust sensor fusion pipelines for robotics, autonomous vehicles, and embedded applications.This is not a purely academic textbook. It is a field guide for engineers who need results. A practical, hands-on guide to sensor fusion for engineers. Learn how to combine IMU, GPS, camera, and LiDAR data using Kalman Filters and modern estimation techniques-complete with real code and production insights. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9788398079433
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Sensor Fusion Made Easy (Paperback)
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Paperback. Condition: new. Paperback. Sensor Fusion Made Easy is a practical, engineer-focused guide to building reliable state estimation systems using real-world sensors.Modern robotics, drones, and autonomous systems depend on combining imperfect data from IMUs, GPS, cameras, LiDAR, and other sensors. Yet most resources on sensor fusion are either too theoretical or too fragmented to apply in real projects. This book bridges that gap.Designed for working engineers and advanced developers, it takes a hands-on approach to sensor fusion-starting with intuitive concepts and progressing toward production-ready systems.Inside, you will learn how to: Understand and model real sensor noise and failure modesBuild Kalman Filters from scratch for linear systemsApply Extended and Unscented Kalman Filters to nonlinear problemsImplement complementary filters for embedded systemsWork with real sensors including IMU, GNSS, cameras, and LiDARDesign multi-sensor fusion architectures with fault detectionTransition from theory to deployable pipelines using ROSEach concept is presented with clear explanations, practical insights, and fully runnable code examples in Python and C++. You will not only understand how sensor fusion works-you will build systems that actually run, debug them when they fail, and improve them for real-world performance.By the end of this book, you will have a solid foundation in estimation techniques and the confidence to design robust sensor fusion pipelines for robotics, autonomous vehicles, and embedded applications.This is not a purely academic textbook. It is a field guide for engineers who need results. A practical, hands-on guide to sensor fusion for engineers. Learn how to combine IMU, GPS, camera, and LiDAR data using Kalman Filters and modern estimation techniques-complete with real code and production insights. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9788398079433
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Sensor Fusion Made Easy (Paperback)
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Paperback. Condition: new. Paperback. Sensor Fusion Made Easy is a practical, engineer-focused guide to building reliable state estimation systems using real-world sensors.Modern robotics, drones, and autonomous systems depend on combining imperfect data from IMUs, GPS, cameras, LiDAR, and other sensors. Yet most resources on sensor fusion are either too theoretical or too fragmented to apply in real projects. This book bridges that gap.Designed for working engineers and advanced developers, it takes a hands-on approach to sensor fusion-starting with intuitive concepts and progressing toward production-ready systems.Inside, you will learn how to: Understand and model real sensor noise and failure modesBuild Kalman Filters from scratch for linear systemsApply Extended and Unscented Kalman Filters to nonlinear problemsImplement complementary filters for embedded systemsWork with real sensors including IMU, GNSS, cameras, and LiDARDesign multi-sensor fusion architectures with fault detectionTransition from theory to deployable pipelines using ROSEach concept is presented with clear explanations, practical insights, and fully runnable code examples in Python and C++. You will not only understand how sensor fusion works-you will build systems that actually run, debug them when they fail, and improve them for real-world performance.By the end of this book, you will have a solid foundation in estimation techniques and the confidence to design robust sensor fusion pipelines for robotics, autonomous vehicles, and embedded applications.This is not a purely academic textbook. It is a field guide for engineers who need results. A practical, hands-on guide to sensor fusion for engineers. Learn how to combine IMU, GPS, camera, and LiDAR data using Kalman Filters and modern estimation techniques-complete with real code and production insights. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9788398079433
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Sensor Fusion Made Easy : A Practical Engineer's Guide to Combining Sensors, Estimating State, and Building Reliable Fusion Pipelines
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Sensor Fusion Made Easy | A Practical Engineer's Guide to Combining Sensors, Estimating State, and Building Reliable Fusion Pipelines
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Taschenbuch. Condition: Neu. Sensor Fusion Made Easy | A Practical Engineer's Guide to Combining Sensors, Estimating State, and Building Reliable Fusion Pipelines | Alex Morgan | Taschenbuch | Englisch | 2026 | Alex Morgan | EAN 9788398079433 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 135337044