Sökning: "AirForestry"
Visar resultat 1 - 5 av 8 uppsatser innehållade ordet AirForestry.
1. Modeling and Simulation of a Planar Unmanned Aerial Manipulator
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A unique Unmanned Aerial Manipulator (UAM), also termed an aerial robot, is the subject of this thesis. A UAM is composed of a floating base attached to a manipulator that enables it to interact physically with the environment. LÄS MER
2. Design av fysiskt användargränssnitt till ett luftburet skördarverktyg
Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Industriell teknikSammanfattning : Forest thinning involves the removal of some trees to benefit the other trees in the forest. When forestsare thinned, heavy machines are used that drive through the forest and affect the forest negatively. The company Airforestry is developing a new system that offers the possibility of thinning from the air using an electric drone. LÄS MER
3. Study and optimization of a hexacopter's composite structure
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : Nowadays, the forestry industry still uses heavy machinery damaging both the forest and the soil. The start-up AirForestry is currently developing a sustainable way to thin and harvest trees. With their 6.2m wide electric drone carrying a harvesting tool, they can reach, thin, cut and carry trees without the need for access roads. LÄS MER
4. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER
5. Hanging Load Mock-Up For Experimental Setup To Test Flight System Stability
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : Can we reduce disturbance, swing, and errors by delegating some of the tasks to a subsystem on the tool hanging from a drone to gain precision and dependability? This project covers developing and implementing a user-controlled prototype with an automatic control system and gripper for functionality and controlled movement in 5 DOF. AirForestry is developing a new way of working in the forestry business to provide a greener and healthier solution for the soil and the environment. LÄS MER