• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Development and Research of the Neural System Components for Flying Objects Recognition

Student: Rotaru Lidiia

Supervisor: Anatoly Istratov

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Control Systems and Data Processing in Engineering (Master)

Final Grade: 10

Year of Graduation: 2019

This masters thesis deals with research of the SkyPatriot, the system for unmanned aerial vehicle detection and recognition. The analysis of the current version of system was conducted to identifying weak structural components to be upgraded. The following subsystems modification are considered: object sorting subsystem, primary filtering subsystem, visual recognition subsystem. Neural networks based approach is used for mentioned above modifications realisation.

Full text (added May 24, 2019)

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses