Search for dissertations about: "Extended Kalman Filter"

Showing result 1 - 5 of 55 swedish dissertations containing the words Extended Kalman Filter.

2. 1. Sensor Fusion for Automotive Applications

   Author : Christian Lundquist; Fredrik Gustafsson; Thomas B. Schön; Uwe Hanebeck; Linköpings universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Kalman filter; PHD filter; extended targets; tracking; sensor fusion; road model; single track model; bicycle model;

   Abstract : Mapping stationary objects and tracking moving targets are essential for many autonomous functions in vehicles. In order to compute the map and track estimates, sensor measurements from radar, laser and camera are used together with the standard proprioceptive sensors present in a car. READ MORE

4. 2. Sensor Fusion and Control Applied to Industrial Manipulators

   Author : Patrik Axelsson; Mikael Norrlöf; Fredrik Gustafsson; Paolo Rocco; Linköpings universitet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial Robots; Sensor Fusion; Iterative Learning Control; H-infinity Controller; Controllability; Extended Kalman Filter; Particle Filter; Expectation Maximisation; Continuous-time Filtering; Norm-optimal ILC;

   Abstract : One of the main tasks for an industrial robot is to move the end-effector in a predefined path with a specified velocity and acceleration. Different applications have different requirements of the performance. READ MORE

5. 3. State Estimation of Lithium-ion Batteries

   Author : Xiaolei Bian; Longcheng Liu; Jinying Yan; Huazhen Fang; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Lithium-ion battery; State of charge; State of health; Model-based method; Extended Kalman filter; Filter tuning; Fusion model; Chemical Engineering; Kemiteknik;

   Abstract : To guarantee the safety operation, the key states of lithium-ion battery, e.g., the state of charge and the state of health, must be estimated and monitored accurately. This thesis is mainly to develop models and algorithms to accurately and robustly estimate the key battery states, based on the available measurements i. READ MORE

6. 4. Toward Sequential Data Assimilation for NWP Models Using Kalman Filter Tools

   Author : Jelena Bojarova; Rolf Sundberg; Krzysztof Podgorski; Stockholms universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; non-Gaussian state space models; Kalman filtering; ETKF; 3D-Var; data assimilation; NWP; Mathematical statistics; Matematisk statistik; matematisk statistik; Mathematical Statistics;

   Abstract : The aim of the meteorological data assimilation is to provide an initial field for Numerical Weather Prediction (NWP) and to sequentially update the knowledge about it using available observations. Kalman filtering is a robust technique for the sequential estimation of the unobservable model state based on the linear regression concept. READ MORE

7. 5. GPS/IMU Integrated System for Land Vehicle Navigation based on MEMS

   Author : Yueming Zhao; Lars Sjöberg; Milan Horemuž; Krzysztof Gajdamowicz; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; GPS; IMU; MEMS; integration; Kalman filter; physical constraint; outlier;

   Abstract : The Global Positioning System (GPS) and an Inertial Navigation System (INS)are two basic navigation systems. Due to their complementary characters in manyaspects, a GPS/INS integrated navigation system has been a hot research topic inthe recent decade. Both advantages and disadvantages of each individual systemare analyzed. READ MORE