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

Utilising Stereo Cameras for Probabilistic Inertial-Visual Odometry

Student: Mokrii Iurii

Supervisor: Maxim A. Babenko

Faculty: Faculty of Computer Science

Educational Programme: Data Science (Master)

Year of Graduation: 2020

Recent years have shown an increasing interest in developing augmented reality and robotics methods. Odometry is an irreplaceable part of these technologies. At the same time, it is becoming more and more popular among manufacturers to add multiple cameras to their devices, especially smartphones. In this work, we propose to improve the probabilistic inertial-visual odometry (PIVO) system, using the video streams from two synchronized stereo cameras instead of only one monocular camera.

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