Sökning: "Adaptive Extended Kalman Filter"
Visar resultat 1 - 5 av 9 uppsatser innehållade orden Adaptive Extended Kalman Filter.
1. Adaptive Rolling Radius Estimation
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : Tire tread health is essential for safe operation of a passenger vehicle. Worn out tires significantly increases the risk of traffic accidents and hydroplaning. This thesis investigates the possibility to detect tire tread wear by estimating the effective rolling radius of a tire. LÄS MER
2. An Adaptive IMM-UKF method for non-cooperative tracking of UAVs from radar data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the expected growth of Unmanned Aerial Vehicle (UAV) traffic in the coming years, the demand for UAV tracking solutions in the Air Traffic Control (ATC) industry has been incentivized. To ensure the safe integration of UAVs into airspace, Air Traffic Management (ATM) systems will need to provide a number of services such as UAV tracking. LÄS MER
3. Reference Tracking with Adversarial Adaptive Output- Feedback Model Predictive Control
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Model Predictive Control (MPC) is a control strategy based on optimization that handles system constraints explicitly, making it a popular feedback control method in real industrial processes. However, designing this control policy is an expensive operation since an explicit model of the process is required when re-tuning the controller. LÄS MER
4. Localisation and Mapping for an Autonomous Lawn Mower : Implementation of localisation and mapping features for an autonomous lawn mower using heterogeneous sensors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous lawn mowers have been available to consumers for more than 20 years. During this period, advancements in embedded device computations and sensor performance have led to improvements in the reliability of these robots. Despite recent improvements, the opportunity for further innovation of such systems remains significant. LÄS MER
5. Optimizing multi-robot localization with Extended Kalman Filter feedback and collaborative laser scan matching
Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknikSammanfattning : Localization is a critical aspect of robots and their industrial applications, with its major impact on navigation and planning. The goal of this thesis is to improve multi-robot localization by utilizing scan matching algorithms to calculate a corrected pose estimate using the robots' shared laser scan data. LÄS MER