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Nonlinear control of quadrotor UAV under rotor failure for robust trajectory tracking. [PDF]
Sci RepSimha A, Ambroziak L.
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Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications, 2021
Inertial measurement units (IMUs) afford the problem of localisation unique advantages owing to their independence of costly deployment and calibration efforts. However, IMU models have traditionally suffered from excessive drifts that have limited their appeal and utility. Newer machine learning (ML) approaches can better model and compensate for such
Alloulah, Mohammed, Tuominen, Lauri
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Inertial measurement units (IMUs) afford the problem of localisation unique advantages owing to their independence of costly deployment and calibration efforts. However, IMU models have traditionally suffered from excessive drifts that have limited their appeal and utility. Newer machine learning (ML) approaches can better model and compensate for such
Alloulah, Mohammed, Tuominen, Lauri
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Closing the Gaps in Inertial Motion Tracking
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018A rich body of work has focused on motion tracking techniques using inertial sensors, namely accelerometers, gyroscopes, and magnetometers. Applications of these techniques are in indoor localization, gesture recognition, inventory tracking, vehicular motion, and many others.
Sheng Shen 0002 +2 more
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Pedestrian tracking through inertial measurements
2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2016Most modern outdoor tracking systems utilize GPS technology. However, typical pedestrian environments tend to distort and block satellite signals, thereby making GPS communication systems unreliable. This is particularly true for indoor environments. An alternative pedestrian dead reckoning system based solely on inertial sensors is presented.
Kenneth Hili, Andrew Sammut
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Use of inertial sensors to support video tracking
Computer Animation and Virtual Worlds, 2007AbstractOne of the biggest obstacles to building effective augmented reality (AR) systems is the lack of accurate sensors that report the location of the user in an environment during arbitrary long periods of movements. In this paper, we present an effective hybrid approach that integrates inertial and vision‐based technologies. This work is motivated
Aron, Michael +2 more
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Filling the gaps: Hybrid vision and inertial tracking
2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2013Existing head-tracking systems all suffer from various limitations, such as latency, cost, accuracy, or drift. I propose to address these limitations by using depth cameras and existing 3D reconstruction algorithms to simultaneously localize the camera position and build a map of the environment, providing stable and drift-free tracking. This method is
Ky Waegel, Frederick P. Brooks Jr.
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Ambulatory inertial spinal tracking using constraints
Proceedings of the 9th International Conference on Body Area Networks, 2014Wearable inertial sensor networks represent a well-known and meanwhile cheap solution for in-field motion capturing. However, the majority of existing approaches and products rely on simple stick figure models to approximate the human skeleton with only a few rigid segments and connecting joints.
Markus Miezal +3 more
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On Inertial Body Tracking in the Presence of Model Calibration Errors [PDF]
Sensors, 2016 In inertial body tracking, the human body is commonly represented as a biomechanical model consisting of rigid segments with known lengths and connecting joints. The model state is then estimated via sensor fusion methods based on data from attached inertial measurement units (IMUs). This requires the relative poses of the IMUs w.r.t.
Markus Miezal +2 more
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