Sökning: "Autonomous Drone"
Visar resultat 1 - 5 av 67 uppsatser innehållade orden Autonomous Drone.
1. Diving Deep: Seabird foraging tactics and local prey field
Master-uppsats, SLU/Dept. Of Aquatic ResourcesSammanfattning : Foragers in patchy environments need to decide what patches to use and how to allocate their time between them. Optimal foraging theory describes these choices through the relationship between energy expenditure and energy gain. LÄS MER
2. 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
3. Information requirements for future operators of autonomous drones at airports
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : To gain an understanding about what information requirements there are for future operators of autonomous drone swarms at airport, this study examined how work at airports is structured today, what staff at airports think about the potential implementation of autonomous drones, and what potential interface components that are necessary to be able to control these drones. Interviews and observations were made at five different airports and air traffic control towers with tower and ground staff. LÄS MER
4. 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
5. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER