Sviridenko Vladimir

He is CTO of SPIRIT DSP group of companies, Doctor of science (technology), professor, an author and a co-author of 200+ publications (monographs, books, brochures, text books, articles, reports on conferences, author certificates and patents) on telecommunications, data transmission and processing, digital signal processing and navigation receivers. His specialty according to base education is radio-engineering. Also he is a member of Design Manager Council on user navigation equipment

He made big contribution in SPIRIT DSP R&D center organization (including subsidiary SPIRIT-Navigation) which was oriented on software development and hardware and software complexes design in fields of data, voice and video communication via digital links and telecom network channels, audio and images processing, navigation solutions for satellite and non-satellite positioning of mobile objects. Many of the developed by SPIRIT DSP products and technologies are unique ones on their technical characteristics. Most of them were licensed by 200 and more companies in the world, including very big firms which belong to Top-100 rating list. Some software solutions are integrated in chips which are produced in long run.

Выступления:

Section: “Navigation equipment”
“Indoor Positioning Engine for smartphones (integrated solution, accuracy 1 m, infrastructureless). Are there some alternatives to the engine in its class?”

In the paper some concluding information concerning part of R&D work which was executed in 2013....2014 years in scope of Fond Skolkovo grant (Space and telecom technologies cluster) is done. Purpose of the research work was development of mobile software application for smartphones/tablets under OS Android and iOS which provides high accuracy positioning of mobile object indoor and outdoor. In the paper main accent will be done on a navigation engine for indoor positioning (Indoor Positioning Engine). Its base is integration of raw heterogeneous data from sensors and telecom components of a smartphone and processing of such composition by Particle Filter. Provided accuracy is 1m (CEP). The application is operating in infrastructureless environment and it requires previous mapping (in broad sense) of premises where positioning of mobile objects and people will be realized. Besides the engine performance some illustrations will be presented for differ indoors in dynamic (on screenshots and video). Some information about first experiences on practical usage of the engine in scopes of an information-navigation system is done. Also some notes concerning possible perspectives for transformation of the engine prototype to product solution will be stated.