Essays about: "Kalmanfilter"
Showing result 11 - 15 of 46 essays containing the word Kalmanfilter.
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11. Invariant Extended Kalman Filter for Measurements on Lie Groups
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since its creation, the extended Kalman filter (EKF) has become an industry standard for state estimation. However, the EKF is designed for Euclidean spaces, which causes challenges when adapting it to non-Euclidean spaces such as Lie groups, which includes 3D attitude. READ MORE
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12. Improvement of an existing Integrated Vehicle Dynamics Control System influencing an urban electric car
University essay from KTH/FlygdynamikAbstract : The Integrated Vehicle Dynamics Control (IVDC) concept can influence the vehicle behaviour both longitudinally and laterally with just one upper level control concept and further lower level controllers. This demands for state estimation of the vehicle which also includes estimating parameters of interest for the vehicle dynamicist. READ MORE
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13. An Autonomous Self-Docking Robot on Passive Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The design of a robot is tightly linked to it assigned task. A robot does not have the same adaptability as humans do. Therefore every robot is designed to achieve one specific task. An increasing alternative to this issue are modular robots. READ MORE
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14. The Effect of Simulink Block Kalman Filters in a CubeSat ADCS
University essay from KTH/RymdteknikAbstract : The purpose of this paper was to implement Kalman filtering in the form of pre-existing Simulink blocks into a CubeSat attitude determination and control system simulation and to evaluate their performance. In recent versions of Simulink, the block library has been expanded, providing a new level of abstraction for simulation engineers. READ MORE
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15. GPS-oscillation-robust Localization and Visionaided Odometry Estimation
University essay from KTH/Maskinkonstruktion (Inst.)Abstract : GPS/IMU integrated systems are commonly used for vehicle navigation. The algorithm for this coupled system is normally based on Kalman filter. However, oscillated GPS measurements in the urban environment can lead to localization divergence easily. READ MORE