Sökning: "Autonomous vehicle"
Visar resultat 21 - 25 av 614 uppsatser innehållade orden Autonomous vehicle.
21. Exogenous Fault Detection in Aerial Swarms of UAVs
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. LÄS MER
22. Robust Non-Linear State Estimation for Underwater Acoustic Localization : Expanding on Gaussian Mixture Methods
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Robust state estimation solutions must deal with faulty measurements, called outliers, and unknown data associations, which lead to multiple feasible hypotheses. Take, for instance, the scenario of tracking two indistinguishable targets based on position measurements, where each measurement could refer to either of the targets or even be a faulty reading. LÄS MER
23. Wideband Dielectric Resonator Antenna Array for Autonomous Vehicles
Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : With the rapid advancement of autonomous vehicles, reliable and efficient wireless communication systems with high data rates have become essential for their safe and efficient operation and further evolution. High data rates are found in the higher frequency bands where conductive antennas lack radiation efficiency. LÄS MER
24. Achieving Autonomous Landing of Fixed Wing UAVs
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This bachelor thesis aims to ascertain a method of achieving autonomous landings of autonomouslycontrolled fixed wing UAVs. An autonomous Unmanned Aerial Vehicle (UAV) is an aircraft capable ofcomplete autonomous flight with the help of a flight computer, sensors, and autopilot software. LÄS MER
25. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER