Evdokimov A. O., Dr. Eng.

Zuev A. V., Dr. Eng.

 

Volga State University of Technology

Yoshkar-Ola, Russian Federation

 

THE NAVIGATION SYSTEM OF LAND VEHICLES ON THE BASIS OF COMPARISON OF DATA FROM GPS SYSTEM AND VISION SYSTEM

 

Modern navigation equipment is a fusion of satellite positioning system, a modern radio communications and electronic mapping, allows to determine the location and speed of the vehicle, calculate distances, routes and track their adherence to receive information about cartographic objects.

The current system suggest that the key elements of the trajectory (points takeoff, landing, etc.) are given by the person in advance and can not be changed if necessary in the operation of the vehicle in the offline mode. The proposed project seeks to address this limitation functionalities of vehicles.

In our project vision system (VS) is capable of handling both planar (2D), and spatial (3D) images. For modern computer vision systems is characterized by the transition from two-dimensional image processing to the processing of three-dimensional images. In the proposed system is supposed to use laser range finders and cameras that will integrate the processing of information in the VS. Thus, the main problem will be getting adequate mathematical models of 3D images, the development of methods for their analysis.

As shown in [1,2] will be the most promising methods of quaternion and contour analysis, and special mathematical models [1,2] for the effective and stable operation even in the face of a large amount of noise and loss of signal information. For greater precision sensors are embedded in different climatic conditions, it is known that weather conditions are making errors in the measurement of radio navigation [3].

As a result, the proposed system will perform an autonomous ground vehicle navigation through integrated processing and comparison of navigation data and VS. Processing algorithms will predict the current location accuracy, and on this basis to determine the specific contribution of VS required. In view of the above, the system will have the form shown in Fig. 1.

 

 

Figure 1 Scheme to correcting the route of the moving the overland transport facility

 

 

The modern complex navigational equipment allows to obtain data about the location of a moving object, its velocity and acceleration compare with cartographic information, to determine the point of the route, to take the decision about the options for further movement. In this case, an important task is to get the different aggregation algorithms available observations in order to determine their effectiveness. According to the simplest algorithm aggregation provides for the use of navigation on the output of the complex coordinates and velocity navigation system with its normal operation and autonomous information system when it is inoperable.
The economic impact of the introduction is provided by reducing the demands on the hardware systems for processing 3D images, due to the possibility of reducing the number of operators who support the operation of unmanned aerial vehicles, by reducing the risk of failure in orientation and navigation systems and the associated losses.

 

References

 

1. Furman YA.A. The Visualization of the scenes in 3D scene. The Textbook. - Yoshkar-Ola, 2007.

2. Evdokimov A.O. Pattern Recognition of Space Group Point Objects on the Basis of their Shaping Flat Representations // 8th Open German-Russian Workshop (OGRW-8-2011). Workshop Proceedings, Nizhni Novgorod - 2011. - P. 56-59.

3.Ivanov V.A.,Ryabova N.V., Zuev A.V., Kislicyn A. A., Wing S. V. Study of the influence upon noise-immunity radio navigation signal meteo condition and cosmic weather // Vestnik MARGTU.- Yoshkar-Ola: Mari state technical university, 2011.-  3. - P. 25-35.