Sökning: "Unmanned Aerial Vehicle"
Visar resultat 1 - 5 av 205 uppsatser innehållade orden Unmanned Aerial Vehicle.
1. Human-Multi-Drone Interaction in Search and Rescue Systems under High Cognitive Workload
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Unmanned Aerial Vehicles (UAV), often referred to as drones, have seen increased use in search and rescue (SAR) missions. Traditionally, these missions involve manual control of each drone for aerial surveillance. LÄS MER
2. Risk Analysis and Cybersecurity Implementation for UTM : Implemented in UTM50
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : With the increasing usage of Unmanned Aerial Vehicle (UAV)s and the prediction of becoming applicable to more industries within the next decade there is a need for a controlling authority in the lower airspace. An Unmanned Aircraft System Traffic Man- agement (UTM) provides multiple solutions to how such a system should operate and what services it should provide. LÄS MER
3. Traffic State Estimation on Swedish Highways : Model Comparison using Multisource Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Due to the escalating demand for traffic information and management, the significance of traffic state estimation, which involves the assessment of traffic conditions on road segments with limited measurement data, is increasing. Two primary estimation methods are model-driven and data-driven. LÄS MER
4. Development and Validation of a Simulation Model for a Power Unit of an UAV
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : The primary objective of this master's thesis is to examine a new version of a power unit currently utilized in an unmanned aerial vehicle and develop a simulation model of the power unit. The theoretical groundwork needed for developing a model has been presented, describing components used and the function of the different subsystems. LÄS MER
5. DRONAR: Obstacle echolocation using ego-noise
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. LÄS MER