An Introduction to Inertial and Visual Sensing

By Peter Corke, Jorge Lobo, Jorge Dias. Int. J. Robotics Res., 2007

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Using Inertial Sensors for Position and Orientation Estimation (2017, unknown): “For pose estimation, inertial sensors are often combined with measurements from for instance a global navigation satellite system (GNSS) [71, 147, 59], an ultrawideband (UWB) system [74, 132, 110, 27, 30] or cameras [26, 61, 79, 94].”
Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor (2012, background): “Biological systems face similar problems, and interestingly, mammals and insects have developed similar solutions: gyroscopic sensors (the vestibular sensors of the inner ear and the halteres, respectively) [22].”
Optic-Flow Based Control of a 46g Quadrotor (2013, background): “One of the most successful solution is inertial SLAM (Simultaneous Localization and Mapping) [2], [3], [4], [5], [6].”
Vision and IMU Data Fusion: Closed-Form Solutions for Attitude, Speed, Absolute Scale, and Bias Determination (2012, unknown): “In [3], a tutorial introduction to the”
Wearable soft sensing suit for human gait measurement (2014, background): “, 2007) to eliminate integration drift (Corke et al., 2007).”
Stronger, Smarter, Softer: Next-Generation Wearable Robots (2014, background): “• IEEE ROBOTICS & AUTOMATION MAGAZINE • DECEMBER 2014 28 extensive work has been done to properly measure human kinematics with IMUs, these systems require additional sensors or aggressive filtering techniques to avoid problems related to integration drift [38], [39].”