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020 _a9781394155293
_q(electronic bk. : oBook)
020 _a1394155298
_q(electronic bk. : oBook)
020 _a9781394155279
_qelectronic book
020 _a1394155271
_qelectronic book
020 _a9781394155286
_q(electronic bk.)
020 _a139415528X
_q(electronic bk.)
020 _z9781394155262
_qhardcover
024 7 _a10.1002/9781394155293
_2doi
035 _a(OCoLC)1482799942
_z(OCoLC)1482982840
035 9 _a(OCLCCM-Owned)1482799942
037 _a10833908
_bIEEE
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dN$T
_dIEEEE
_dUKKRT
_dOCLCO
_dDG1
_dCLOUD
_dHOPLA
_dOCLCL
041 _aenf
049 _aMAIN
050 4 _aTK7872.D48
_bA85 2025
100 1 _aAtia, Mohamed Maher,
_eauthor.
_0http://id.loc.gov/authorities/names/no2022077787
245 1 0 _aSensor fusion approaches for positioning, navigation, and mapping :
_bhow autonomous vehicles and robots navigate in the real world : with MATLAB examples /
_cMohamed M. Atia.
264 1 _aHoboken, New Jersey :
_bJohn Wiley & Sons, Inc.,
_c[2025]
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aUnique 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.
588 _aDescription based on online resource; title from digital title page (viewed on January 08, 2025).
650 0 _aMultisensor data fusion.
_0http://id.loc.gov/authorities/subjects/sh90003105
650 6 _aFusion multicapteurs.
650 7 _aElectronics.
_2bisacsh/2023
650 7 _aAutomation.
_2bisacsh/2023
650 7 _aTECHNOLOGY & ENGINEERING.
_2bisacsh/2023
650 7 _aSensors.
_2bisacsh/2023
655 0 _aElectronic books.
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394155293
_yFull text is avaialable at Wiley Online Library Click here to view.
942 _2ddc
_cER