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1. Strapdown inertial navigation technology
by Titterton, D. H. (David H.) and Weston, J. L. (John L.) and Institution of Electrical Engineers
2004, 2nd ed., IEE radar, sonar, navigation, and avionics series, ISBN 0863413587, Volume 17, xvii, 558
Inertial navigation systems | Inertial navigation (Aeronautics) | Inertial navigation (Aeronautics), Inertial navigation systems | Inertial navigation (Aeronautics) -- Inertial navigation systems
Book
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2. An assessment of the prospects for inertial fusion energy
National Research Council (U.S.). Committee on the Prospects for Inertial Confinement Fusion Energy Systems
2013, ISBN 0309270812, xvi, 229
Evaluation | Nuclear energy | Research | Technological innovations | Inertial confinement fusion
Book
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3. Inertial MEMS
: principles and practice
by Kempe, Volker and Books24x7, Inc
2011, ISBN 0521766583, Volume 9780521766586, xiv, 475
Microelectromechanical systems | Inertial navigation systems | BioMEMS
Book
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4. Applied mathematics in integrated navigation systems
by Rogers, Robert M
2007, 3rd ed., AIAA education series, ISBN 1563479273, xvii, 408
Inertial navigation systems | Inertial navigation (Aeronautics) | Aids to air navigation | Inertial navigation (Astronautics) | Inertial navigation | Kalman filtering | Mathematics | Research | Global Positioning System
Book
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5. Applied mathematics in integrated navigation systems
by Rogers, Robert M
2000, AIAA education series, ISBN 9781563474453, xiv, 300
Inertial navigation systems | Inertial navigation (Aeronautics) | Aids to air navigation | Inertial navigation (Astronautics) | Inertial navigation | Kalman filtering | Mathematics | Integrated navigation systems | Research | Global Positioning System
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6. Full Text Visual-inertial navigation, mapping and localization: A scalable real-time causal approach
by Jones, Eagle S and Soatto, Stefano
The International journal of robotics research, ISSN 0278-3649, 4/2011, Volume 30, Issue 4, pp. 407 - 430
localization | autonomous robotics | vision-based navigation | Visual-inertial navigation | structure from motion | assisted driving | simultaneous localization and mapping (SLAM) | location recognition | loop closure | vision-aided navigation | Technology | Robotics | Science & Technology | Inertial navigation (Aeronautics) | Technology application | Usage | Electronics in navigation | Inertial navigation | Real-time control | Real-time systems | Research | Digital mapping | Bundle adjustment | Parameter estimation | Gravitation | Calibration | Parameter identification | Real time operation | Bundling | Inertial coordinates | Visibility | Mathematical models | Graphical representations | Position (location) | Continuity (mathematics) | Platforms | Mathematical analysis | Inertial | Vectors (mathematics) | Estimates | Visual
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7. Full Text An autonomous vehicle navigation system based on inertial and visual sensors
by Guang, Xingxing and Gao, Yanbin and Leung, Henry and Liu, Pan and Li, Guangchun
Sensors (Basel, Switzerland), ISSN 1424-8220, 09/2018, Volume 18, Issue 9, p. 2952
Strapdown inertial navigation system | Inertial-visual fusion method | Autonomous vehicle | Kalman filter | Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Automation | Mean square errors | Noise | Autonomous navigation | Inertial sensing devices | Strapdown inertial navigation | Inertial platforms | Vehicles | Accuracy | Navigation systems | Inertial navigation | Cameras | Drift | Sensors | Autonomy | Localization | inertial-visual fusion method | autonomous vehicle | strapdown inertial navigation system | Kalman Filter
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8. Full Text A Kalman Filter-Based Algorithm for IMU-Camera Calibration: Observability Analysis and Performance Evaluation
by Mirzaei, F.M and Roumeliotis, S.I
IEEE transactions on robotics, ISSN 1552-3098, 10/2008, Volume 24, Issue 5, pp. 1143 - 1156
Algorithm design and analysis | Motion estimation | inertial measurement unit (IMU)-camera calibration | Calibration | Lie derivatives | Extended Kalman filter | Vehicles | vision-aided inertial navigation | observability of nonlinear systems | Inertial navigation | Cameras | Performance analysis | Kalman filters | Observability | State estimation | Vision-aided inertial navigation | Inertial measurement unit (IMU)-camera calibration | Observability of nonlinear systems | Technology | Robotics | Science & Technology | Solid mechanics | Control system analysis | Fundamental areas of phenomenology (including applications) | Pattern recognition. Digital image processing. Computational geometry | Exact sciences and technology | Applied sciences | Control theory. Systems | Solid dynamics (ballistics, collision, multibody system, stabilization...) | Modelling and identification | Artificial intelligence | Physics | Computer science; control theory; systems | Usage | Algorithms | Chaos theory | Kalman filtering | Inertial measurement units | Research | Design and construction | Methods | Measurement | Performance evaluation | Accuracy | Navigation systems | Estimating techniques | Satellite navigation systems | Transformations | Inertial | Sensors | Global Positioning System
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9. Full Text Keyframe-based visual–inertial odometry using nonlinear optimization
by Leutenegger, Stefan and Lynen, Simon and Bosse, Michael and Siegwart, Roland and Furgale, Paul
The International journal of robotics research, ISSN 0278-3649, 3/2015, Volume 34, Issue 3, pp. 314 - 334
keyframes | stereo camera | inertial measurement unit (IMU) | robotics | sensor fusion | simultaneous localization and mapping (SLAM) | bundle adjustment | Visual-inertial odometry | Technology | Robotics | Science & Technology | Accelerometers | Filtration | Probability theory | Cloning | Odometers | Probabilistic methods | Mapping | Ground truth | Imagery | Optimization | Real time operation | Complexity | Windows (intervals) | Accuracy | Landmarks | Cost function | Position (location) | Filtering | Algorithms | Nonlinearity | Inertial | Visual
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10. Full Text Inertial sensors—applications and challenges in a nutshell
by Seel, Thomas and Kok, M and McGinnis, Ryan S
Sensors (Basel, Switzerland), ISSN 1424-8220, 2020, Volume 20, Issue 21, p. 6221
Accelerometers | Error modeling and calibration | Magnetometers | Inertial motion tracking | Inertial sensors in vehicle motion estimation and control | Inertial sensors in robotics and manufacturing | Machine learning applied to inertial sensor data | Sensor fusion | Body area networks | Inertial sensors in health care and sports engineering | Gyroscopes | Localization and mapping | Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Index Medicus | accelerometers | sensor fusion | magnetometers | body area networks | inertial motion tracking | gyroscopes
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11. Full Text Analysis and Modeling of Inertial Sensors Using Allan Variance
by El-Sheimy, N and Haiying Hou and Xiaoji Niu
IEEE transactions on instrumentation and measurement, ISSN 0018-9456, 01/2008, Volume 57, Issue 1, pp. 140 - 149
Algorithm design and analysis | error analysis | Stochastic processes | Sensor phenomena and characterization | inertial sensors | Random processes | Root mean square | gyroscopes | Degradation | Allan variance | Signal processing algorithms | Inertial navigation | Signal analysis | Analysis of variance | Error analysis | Inertial sensors | Gyroscopes | Engineering, Electrical & Electronic | Engineering | Technology | Instruments & Instrumentation | Science & Technology | Evaluation | Usage | Inertial measurement units | Design and construction | Sensors | Studies | Errors | Algorithms | Error detection | Mathematical models | Inertial | Variance
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12. Full Text On-Manifold Preintegration for Real-Time Visual--Inertial Odometry
by Forster, Christian and Carlone, Luca and Dellaert, Frank and Scaramuzza, Davide
IEEE transactions on robotics, ISSN 1552-3098, 02/2017, Volume 33, Issue 1, pp. 1 - 21
Manifolds | Jacobian matrices | Computer vision | Smoothing methods | Computational modeling | Estimation | sensor fusion | visual--inertial odometry (VIO) | Real-time systems | Optimization | visual - inertial odometry (VIO) | visual-inertial odometry (VIO) | Technology | Robotics | Science & Technology | Usage | Computer-generated environments | Machine vision | Computer simulation | Real-time control | Graph theory | Research | Nonlinear programming | State of the art | Computation | Odometers | Real time | State estimation | Rotation | Units of measurement | Jacobians | Computer Science - Robotics
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13. Full Text 3D gait assessment in young and elderly subjects using foot-worn inertial sensors
by Mariani, Benoit and Hoskovec, Constanze and Rochat, Stephane and Büla, Christophe and Penders, Julien and Aminian, Kamiar
Journal of biomechanics, ISSN 0021-9290, 2010, Volume 43, Issue 15, pp. 2999 - 3006
Physical Medicine and Rehabilitation | Turning | 3D gait analysis | Foot clearance | Inertial sensors | Elderly | Engineering | Biophysics | Life Sciences & Biomedicine | Technology | Engineering, Biomedical | Science & Technology | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | Tissues, organs and organisms biophysics | Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports | Biomechanics. Biorheology | Optical Devices | Remote Sensing Technology - methods | Reproducibility of Results | Humans | Remote Sensing Technology - statistics & numerical data | Imaging, Three-Dimensional - methods | Male | Gait - physiology | Foot | Young Adult | Biomechanical Phenomena | Algorithms | Aging - physiology | Imaging, Three-Dimensional - statistics & numerical data | Models, Biological | Remote Sensing Technology - instrumentation | Adult | Female | Aged | Usage | Sensors | Analysis | Walking | Gait | Clearances | Inertial | Assessments | Age | Three dimensional | Index Medicus
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14. Full Text Improved Position Accuracy of Foot-Mounted Inertial Sensor by Discrete Corrections from Vision-Based Fiducial Marker Tracking
by Khan, Humayun and Clark, Adrian and Woodward, Graeme and Lindeman, Robert W
Sensors (Basel, Switzerland), ISSN 1424-8220, 09/2020, Volume 20, Issue 18, p. 5031
Engineering | Physical Sciences | Chemistry | Technology | Instruments & Instrumentation | Engineering, Electrical & Electronic | Chemistry, Analytical | Science & Technology | Emergency response | Bias | Position sensing | Accumulation | Training | Confidence intervals | Accuracy | Energy resources | Inertial coordinates | Tracking systems | Infrastructure | Experimentation | Sensors | Localization | Indoor environments | Markers | Inertial sensing devices | Inertial platforms | Velocity | Extended Kalman filter | Walking | Errors | Power consumption | Cameras | Vision systems | Methods | Index Medicus | zero-velocity update | extended Kalman filter | visual-inertial sensor fusion | foot-mounted inertial sensor | fiducial marker tracking
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