Project

The system of video-based navigation for unmanned aerial vehicles. Its application for navigation and airborne terrestrial robots control.


Nowadays availability of the GPS signal is necessary condition for UAVs operating. Signal failure or its deliberate suppression makes it impossible to determine the coordinates accurately, and, as a result, to accomplish a desired track flight. The use of inertial navigation systems also doesn’t solve the problem completely: solutions existing at the market (GPS/INS) are not autonomous, precision products are costly and are not noise-proof. The project suggests to solve the problem of ensuring the autonomy of UAVs in the absence of satellite navigation signals on the basis of alternative data sources: image information from onboard daytime and infra-red photo/video cameras and digital terrain data.  We develop also simplified commercial video navigator for airborne unmanned ground vehicles (robot-lawnmower) control

 

Market

Vision-based navigation for UAV - 700 M

Vision-based navigation for lawnmower - 18 M

Vision-based navigation for space rovers - 10 M


Company

1. It is planned to develop a software package including three approaches for comprehensive video navigation solution: The approach, which uses the current image without additional information. The program finds specific points in the first frame of the video and then tracks their movement in the frame. By the nature of moving it determines changes in the position and orientation of the camera. The terrain association approach, which uses stereo effect produced by the movements of the camera. It restores the terrain and compares it to the prestored data. In case of "recognition" exact location and orientation of the camera are determined. The approach of precise photo-reference. Video frames are compared to the prestored images of the route segments. In case of "recognition" exact location and orientation of the camera are determined. 2. A simplified commercial video navigator for airborne unmanned ground vehicles (robot-lawnmower) control and working breadboard model of the video navigator for UAVs are going to be created based on the developed software package.

Investment opportunities

10 mln rubles


Team [6]

Rubinshteyn Aleksandr Aleksandrovich
Rubinshteyn Aleksandr Aleksandrovich

CEO assistant, programmer

Kupervasser Oleg
Kupervasser Oleg

Chief Scientist

Kogan Simon
Kogan Simon

Programmer

Shleifman Lev
Shleifman Lev

Businessman

Romanov Alexey
Romanov Alexey

Programmer

Gershzon Leonid
Gershzon Leonid

Programmer


Investors [1]


Presentation