Essays about: "Extended Kalman Filter"

Showing result 16 - 20 of 180 essays containing the words Extended Kalman Filter.

1. 16. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Muhammad Ihsan Al Hafiz; [2023]
   Keywords : Bolt detection; Visual-Inertial localization; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; Tightening tool; Bultdetektering; visuell-tröghetslokalisering; System-on-Chip SoC ; Field-Programmable Gate Array FPGA ; Machine Learning; Perspective-n-Points; Error-State Extended Kalman Filter ESEKF ; High-Level Synthesis HLS ; YOLO; åtdragningsverktyg;

   Abstract : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. READ MORE

3. 17. A Positioning System for Landing a UAV on a UGV in a GNSS-Denied Scenario

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Tim Wiik; [2022]
   Keywords : Sensor fusion; UAV; UGV; NIR-LED; Extended kalman filter; Unmanned Aerial Vehicle; Unmanned Ground Vehicle; Autonomous Landing; GNSS-denied Scenario;

   Abstract : A system of an unmanned aerial vehicle (UAV) collaborating with an unmanned ground vehicle (UGV) for use in for example surveillance, reconnaissance, transport and target acquisition is studied. The project investigates the problem of estimating the relative position, velocity and orientation between the UAV and the UGV required to autonomously land the UAV on the UGV during movement. READ MORE

4. 18. The Implementation and Evaluation of Learning Approaches to State Filtering

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anna Wilhelmsson; [2022]
   Keywords : ;

   Abstract : State estimation uses measurements of a system’s output to estimate the state. A particular method within state estimation is filtering, which estimates the state using measurements up to and including the current time. READ MORE

5. 19. A Study of Direction of Arrival Methods Based on Antenna Arrays in Presence of Model Errors.

   University essay from Uppsala universitet/Signaler och system

   Author : Julia Sjödin; [2022]
   Keywords : Direction of Arrival; DOA; WSF; MUSIC; TLS-ESPRIT; Extended Kalman filter; model error;

   Abstract : Methods for Direction of Arrival, DOA estimation of multiple objects based on phased arrayantenna technology have many advantages in for example electronic warfare and radarapplications. However, perfect calibration of an antenna array can seldom be achieved. READ MORE

6. 20. GPS and IMU Sensor Fusion to Improve Velocity Accuracy

   University essay from Uppsala universitet/Institutionen för elektroteknik

   Author : Adam Laurell; Erik Karlsson; Yousuf Naqqar; [2022]
   Keywords : Sensor fusion; GPS navigation; Extended Kalman filter; Control systems; Velocity estimation; Data processing;

   Abstract : The project explores the possibilities on how to improve the accuracy of GPS velocity data by using sensor fusion with an extended Kalman filter. The proposed solution in this project is a sensor fusion between the GPS and IMU of the system, where the extended Kalman filter was used to estimate the velocity from the sensor data. READ MORE