Information Technology

Areas of Application

The device is designed for being used in the systems for automatic fl ight control of unmanned aerial vehicles (UAVs), in the creation of new and the upgrade of existing autopilots for UAVs

Specification
The UAV autopilot provides a high dynamic accuracy in the implementation of complex trajectories with signifi cantly curved sections of maneuvering in the vertical and horizontal planes. The UAV control system has been synthesized on the basis of essentially nonlinear dynamic systems of equations; the calculation of roll and pitch errors, the calculation of banktoto-turn maneuver; the formation of the dynamics of virtual control of roll, yaw, and pitch; the adjustment of the defl ection angle of the ailerons, rudder, and altitude control

Advantages

• Mutual use of various UAV control channels;
• cross-connections and compensation of mutual influence between control channels;
• improvement of the accuracy and reliability of the implementation of complex spatial flight trajectories; 
• quick adaptation to signifi cant changes in altitude and fl ight speed;
• maneuvering in vertical and horizontal planes with substantially curved sections; 
• an increase in the number and improvement of efficiency of alternative traffic planning options

Readiness Level. Suggestions for Commercialization
IRL8, TRL8
Integration into customer's equipment

Intellectual Property Protection

IPR1, IRP3

Contact Information
International Research and Training Center for Information Technologies and Systems
of the NAS and the MES of Ukraine, +38 044 502 63 68, e-mail: gaskevich@irtc.org.ua

International Research and Training Center for Information Technologies and Systems NAS and MES of Ukraine

Areas of Application

Automation systems for road fee and parking fee control, capture of road accidents, monitoring of road transportation, etc.

Specification
The technology enables the recognition of license plates with horizontal size above 65 pixels with accuracy of 97% for static images and up to 90% for video. The average recognition time is less than 50 ms and 140 ms for 800x600 and 1600x1200 pixel images, respectively

Advantages
In contrast to the existing analogs, the technology does not require large samples for training and signifi cant time inputs for the adaptation to the recognition of new types of license plates

Readiness Level. Suggestions for Commercialization
IRL3, TRL5
Customization, staff training

Intellectual Property Protection

IPR2

Contact Information
International Research and Educational Center for Information Technologies
and Systems of the NAS and the MES of Ukraine, +38 044 502 63 68, e-mail: gaskevich@irtc.org.ua