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Related lectures (16)
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Sensor Orientation: Introduction to Sensor Fusion
Introduces the rigorous approach to sensor fusion for modern applications.
Stochastic Modeling of Inertial Sensors
Explores the GMWM for stochastic modeling of inertial sensors and its calibration process for optimal fusion with other devices.
Gait Kinematics: Wearable Measuring Systems
Explores wearable systems for gait kinematics analysis and modeling, including sensor calibrations, fusion algorithms, and orientation drift correction.
Robust State Estimation: ROSE
Discusses the ROSE framework for robust state estimation and multi-modal sensor fusion.
Odometry and Sensor Fusion
Explores error sources in odometry, sensor fusion, feature-based localization, and the Kalman Filter algorithm.
Kalman Filters: Estimation and Localization
Covers the theory and application of Kalman Filters for estimation and localization in robotics.
Low Grade Sensors: Data Visualization and Motion Tracking
Covers the visualization of smartphone sensor data and the application of sensors in sports motion tracking.
Robot Localization: Positioning Systems and Odometry
Explores robot localization through positioning systems, odometry, sensor fusion, and error modeling.
Distributed Intelligent Systems: Kalman Filters and Flocking
Explores Kalman filters, flocking behaviors, and decentralized control in distributed intelligent systems.
Basics of Mobile Robotics: Uncertainties
Explores the fundamentals of mobile robotics, emphasizing uncertainties in localization, sensor fusion, and the Extended Kalman Filter.
Active Map Building: Exploration
Explores the basics of Simultaneous Localization and Mapping (SLAM), focusing on map creation techniques and prediction of measurements.
Inertial Sensors: Accelerometer and Gyroscope
Explores the use of inertial sensors for gait analysis and wearable systems.
Signal Propagation: GMWM Methodology
Covers the GMWM methodology for stochastic modeling using inertial sensors in signal propagation and link budget analysis.
Capacitive Sensors: Inertial Sensors
Covers the principles of inertial sensors and drift removal techniques.
Sensors: Understanding Microcontrollers
Explores different types of sensors and their interfaces with microcontrollers for various applications.
Piezoelectric Sensors
Explores piezoelectric sensors for force and pressure measurements, accelerometers, and calibration methods.
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