Sökning: "Sensor fusion"
Visar resultat 11 - 15 av 233 uppsatser innehållade orden Sensor fusion.
11. Airspeed estimation of aircraft using two different models and nonlinear observers
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : When operating an aircraft, inaccurate measurements can have devastating consequences. For example, when measuring airspeed using a pitot tube, icing effects and other faults can result in erroneous measurements. LÄS MER
12. Quadcopter stabilization based on IMU and Monocamera Fusion
Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronikSammanfattning : Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized numerous fields ranging from aerial photography to surveillance and logistics. Achieving stable flight is essential for their successful operation, ensuring accurate data acquisition, reliable manoeuvring, and safe operation. LÄS MER
13. Improving Image Stabilization in Modern Surveillance Cameras
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : This thesis investigates potential ways to improve the image stabilization in Axis Communications surveillance cameras. The current in-house developed stabilization algorithm, Axis EIS, stabilizes based on gyroscope measurements. LÄS MER
14. Quadcopter Control System Design and Implementation with LQR assisted by Kalman Filter: An Experimental Study
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This study stems from the audacious assumption that two bachelor students could successfully construct a functional quadcopter from scratch, covering both software and hardware aspects. The project begins by establishing a foundation for modeling the quadcopter dynamics, including derivation and linearization techniques for implementing a linear quadratic regulator (LQR). LÄS MER
15. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER