li ta hsu (18 resultados)

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: NEW.

Hardcover. Condición: new. Hardcover. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind todays most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind today's most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions.

Condición: New. 2025. hardcover. . . . . .

Hardback. Condición: New. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind today's most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions.

Hardcover. Condición: Brand New. 340 pages. 6.25x0.95x9.25 inches. In Stock.

Hardcover. Condición: new. Hardcover. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind todays most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardback. Condición: New. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind today's most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions.

Condición: New. 2025. hardcover. . . . . . Books ship from the US and Ireland.

Hardback. Condición: New.

Hardcover. Condición: new. Hardcover. Principles of Indoor Positioning and Indoor Navigation is the definitive guide to mastering the algorithms, architectures, and real-world challenges behind todays most advanced Indoor Positioning and Navigation (IPIN) systems. This comprehensive resource equips professionals with the essential tools to design accurate, reliable, and scalable indoor localization solutions. It covers the full landscape of sensing technologies, from radio frequency and physical sensors to inertial and environmental inputs, helping readers select the right positioning system for any application. Core spatial concepts such as coordinate systems, attitude representation, and sensor calibration are addressed early on, providing the foundation needed to build accurate, high-performance systems. Dive deep into the estimation and filtering algorithms that drive indoor navigation, including least squares methods, Kalman and particle filters, and advanced factor graph optimization, with a direct comparison of their performance. The book moves into actionable techniques like time-synchronized radio positioning, differential range-based methods, fingerprinting, deep learning for feature matching, and pedestrian dead-reckoning with proprioceptive sensors. With open-source code and curated datasets, it simplifies prototype SLAM algorithms (LiDAR, Visual, and IMU-assisted), fine-tune sensor fusion strategies, and tackling real-world challenges like drift correction and temporal calibration. This is an essential asset for engineers, researchers, and developers designing modern IPIN platforms. It provides expert insight into advanced techniques like collaborative positioning and crowdsourced mapping, which can elevate system accuracy in dense environments. Further explorations in human pose estimation, AI-driven uncertainty modeling, and reconfigurable intelligent surfaces provide a strong basis for building next-generation navigation architectures for robotics, smart buildings, industrial automation, and more. Solve key problems in the field by enabling the design of accurate and scalable indoor localization solutions. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

LeatherBound. Condición: New. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. LeatherBound edition. Condition: New. Reprinted from 1959 edition. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Pages: 2168 NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Pages: 2168 Keng, I-li,Nan-ching ta hsu?eh.,Zhongguo ke xue yuan.