Precision landing of multirotor drones using computer vision

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00566210" target="_blank" >RIV/60162694:G43__/26:00566210 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/download" target="_blank" >https://www.eeict.cz/download</a>
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Precision landing of multirotor drones using computer vision
Original language description
Precision landing is the last and most crucial stage in navigation, and autonomous precision landing Unmanned Aerial Vehicles (UAVs) have many potential applications across a variety of industries. Until recently, most designs relied on the Global Positioning System (GPS) and Inertial Navigation Systems (INS) with sensors such as 3-axis accelerometers, gyroscopes, and magnetometers. However, the accuracy of GPS data is often insufficient, necessitating the use of more precise sensors. In this study, a high-precision landing solution that employs a camera and ArUco markers as the landing platform is proposed. Once the markers are detected through image processing, the relative position between the markers and the drone is calculated. Using the Micro Air Vehicle Communication (MAVLink) protocol, the NVIDIA Jetson Nano board communicates with the flight controller to manage the drone’s position, enabling it to fly to the marker’s location and land precisely. The algorithm’s efficacy was tested and confirmed in both the Robot Operating System (ROS)/Gazebo simulation environment and real-world experiments.
Czech name
—
Czech description
—

Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)