New systems and technologies
to automate
the management of vehicles
By BaseTracK technologies
The development of vehicle technology and technology leads to increased traffic congestion and poses challenges associated with improving the organization of the movement of mobile objects, in particular vehicles, in terms of safety and speed.
For example, the intensification of transport flows caused by the growth of commercial traffic, as well as personal transport, complicates the process of vehicle management, which leads to the need to solve tasks related to improving road safety and growing requirements for environmental friendliness and safety of the vehicle itself.

In addition, often changing conditions of traffic (congestion along the road, weather conditions, etc.) create an additional burden on the driver (pilot) of the vehicle, lead to over-consumption of fuels and lubricants, increased wear of assemblies and units, etc.

This forces manufacturers to develop new systems and technologies to automate the management of vehicles. One of the directions of solving such a problem is connected with the development of unmanned (autonomous) vehicles.

Where to find the system of autonomous driving

The task of the BaseTracK project is the development of a method for creating a track for autonomous movement, which fully provides for automatic control of mobile objects of any kind - ground, air, surface - by a given path of motion by constructing a trajectory of a movingobject without using special landmarks along the path of the path.

Parameters determining the conditions of motion of a mobile object along a given path of motion are determined in advance for a particular path of motion and are represented in the track file as data blocks.

According to the present technology, a set of parameters of traffic conditions is formed by blocks of data of kinematic parameters of motion of a mobile object,navigation data, control data, traffic corridor data and traffic conditions data.
For example, the intensification of transport flows caused by the growth of commercial traffic, as well as personal transport, complicates the process of vehicle management, which leads to the need to solve tasks related to improving road safety and growing requirements for environmental friendliness and safety of the vehicle itself.
In addition, often changing conditions of traffic (congestion along the road, weather conditions, etc.) create an additional burden on the driver (pilot) of the vehicle, lead to over-consumption of fuels and lubricants, increased wear of assemblies and units, etc.

This forces manufacturers to develop new systems and technologies to automate the management of vehicles. One of the directions of solving such a problem is connected with the development of unmanned (autonomous) vehicles.

Task of BaseTracK technology

The task of the BaseTracK project is the development of a method for creating a track for autonomous movement, which fully provides for automatic control of mobile objects of any kind - ground, air, surface - by a given path of motion by constructing a trajectory of a moving object without using special landmarks along the path of the path.

Parameters determining the conditions of motion of a mobile object along a given path of motion are determined in advance for a particular path of motion and are represented in the track file as data blocks. According to the present technology, a set of parameters of traffic conditions is formed by blocks of data of kinematic parameters of motion of a mobile object, navigation data, control data, traffic corridor data and traffic conditions data.

The method of Autonomous movement is based on artificial intelligence

The known methods of autonomous movement are mostly based on the use of data from various real-time navigation systems using an electronic terrain map loaded into the memory of the TC control unit. In this case, the determination of the traffic modes: direction, speed, etc. along the path of movement is carried out using real-time calculation algorithms, often built on artificial intelligence systems (expert systems, deep learning networks, contextual adaptation systems and other hybrid solutions) and requiring significant computing power.

That is, in the known systems, the calculation of the driving regimes is performed operatively on each section by the computational module of the TC control unit. Naturally, such an approach, in comparison with the one developed in accordance with the present invention, leads to the need to use significant computing power, to delay the transmission of commands to the controls with increasing speed, and to reduce the control accuracy at high speeds in an autonomous (automatic) mode.

Representation of the path of motion in the form of the vector track described above makes it possible to implement the autonomous motion control method of the present invention using the current vehicle position data and a digital description of a vector track loaded as a file into a memory block of the autonomous movement control system of the vehicle.

How the direction of motion is created

The technology relates to an intelligent control system and moving objects can be used to automatically control the movement of land, air and water vehicles along the path of movement. The object of the project is to develop a method of creating a track for autonomous movement, which provides a fully automatic control of mobile objects of any kind.

A method of creating tracks for the autonomous movement of the mobile object along a predetermined path of movement includes: the formation of the path of movement of the movable object, the representation of the movement path in the form of a space-based model based on geospatial data in a plurality of successive reference points in the three-dimensional coordinate system, saving values of coordinates of control points in the form of a file of a spatially-oriented model and the formation of a vector track on the basis of a spatially-oriented model of the path of motion as a set of executive displacement vectors along the path of movement, each of which connects the pair of successive reference points in said plurality of successive reference points, with the starting point of each successive actuator displacement vector is the end point of the previous actuator displacement vector for each elementary point of actuator displacement vector set a set of traffic parameters with the possibility of updating the mentioned parameters in real time.
The vector track is saved as an executable program file, which is then loaded into the memory block of the mobile object's motion control system.

The technical result is the track universality for all types of the mobile object moving along the ground in stand-alone mode, the water or in the air, in all weather conditions, with high precision control at high speeds.