Możaryn, Jakub
Generation of Accurate Translational Motion for Testing Inertial Sensors
Spiewak, Swavik, Ludwick, Stephen, Hauer, Glenn, Możaryn, Jakub
An experimental setup is presented, developed for comprehensive evaluation of high performance inertial sensors for translational motion, accelerometers and geophones. It employs a precision, robust air bearing stage driven by integral brushless DC motor. Experimental results illustrate the performance and capabilities of the setup. 1 Introduction Steadily improving performance of inertial sensors (accelerometers, geophones and gyroscopes) significantly broadens the range of their applications. It also necessitates significant enhancement of the evaluation methods and equipment used throughout the sensor development process. This research is concerned with evaluating accelerometers and geophones used for accurate motion tracking and geophysical sensing.
Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags
Hulek, Kacper, Pawlicki, Mariusz, Ostrowski, Adrian, Możaryn, Jakub
The paper describes of the Ryze Tello drone to move autonomously using a basic vision system. The drone's position is determined by identifying AprilTags' position relative to the drone's built-in camera. The accuracy of the drone's position readings and distance calculations was tested under controlled conditions, and errors were analysed. The study showed a decrease in absolute error with decreasing drone distance from the marker, a little change in the relative error for large distances, and a sharp decrease in the relative error for small distances. The method is satisfactory for determining the drone's position relative to a marker.