BaseTracK is

"Virtual rails" for
intelligent ADAS and autonomous driving

Pure BaseTracK technology provides driving within a road lane without visual recognition of the road marking, while reaching speeds up to 130 km/h in adverse weather conditions (rain, snow, etc.), which is achieved by receiving a high-precision navigational data.
Pure Technology
Here is the demonstration of how we control a vehicle without any sensors for visual recognition.

We have automated a 2013' car to demonstrate the advantages of BaseTracK when it comes to driving in adverse weather conditions. A small BaseTracK automation kit makes this car prepared for autonomous driving.
Compatible with OEMs

BaseTracK can complement existing solutions

The composition of the pure technical solution includes visual inconspicuous in-vehicle automation kit, hybrid navigation system, and safety subsystem of risk assessment.
Digital spatial railways that includes all the information about the upcoming route, so vehicles know in advance how to drive itself, even according to weather conditions and vehicle's initial characteristics
Easy and Fast
In contrast to existing approaches, just a tiny computing power will be enough to control the BaseTracK-connected vehicle
Basis Technology
BaseTracK is meant to work with any existing OEM systems for better performance. We can use pre-installed sensors and algorithms of a vehicle to increase its safety and to make it work in adverse weather conditions
Technology can be used with any vehicle - car, truck, combine harvester, plane, ship, UAV ...

Partial Automation

BaseTracK now targeted at logistics and insurance companies, so we provide 3 levels of automation for your transport tasks
Intelligent Telemetry
BaseTracK doesn't control the vehicle, but we collect all the information to help your business
Intelligent ADAS
BaseTracK assists the driver on highways, providing benefits for a business
Autonomous Operating
BaseTracK fully control the vehicle 24/7 within closed/special areas in any weather

We offer a simplified approach for autonomous driving and a more reliable and less expensive solution.
We propose the concept of a "Basetrack", which is a high-precision spatial driving route that contains additional blocks that provide optimal control of the vehicle based on the requested transport task and traffic conditions.
The Basetrack can be compared with a virtual spatial railway for the vehicle, which acts like a train
Accordingly, in the simplest case, the vehicle should decrease its driving velocity and stop in the event of an obstacle or risk detection. In an advanced case, the decision-making system should start to switch the trajectory tracking system to another Basetrack from the database or to another fragment of a generated detour track. The Basetrack concept simplifies all the challenges of the tactical level of vehicle control.
The advantages of the ideal track data structure include
the predetermined variability of control actions on the route, depending on the tasks of time saving, energy efficiency, or safety; increased reliability; reduced requirements for on-board computing power; and improved performance.
All of us understand that autonomous driving is a global trend and no automakers, suppliers, or technological companies will be able to pass it by. We suppose that technological advantages are not the main reasons for the rapid, worldwide attempts to implement autonomous driving, whereas the market is oversupplied with investments and everybody waits for the results that were promised for 2020. Of course, this situation makes all the challenges of AV testing and development relevant.
BaseTrack is an innovative company with deep competencies in the field of geoinformatics. Today, BaseTrack has a patented technology for high-precision track creation for the purposes of the autonomous movement of any objects in air or ground spaces. The goal of this project is to implement the 'basetrack' concept into the control systems of automated robots. We propose using basetracks at the strategic and tactical levels of autonomous vehicle control instead of HD maps or as a separate layer of an HD map.
One of the challenges in autonomous road vehicles is designing a system that is applicable in all weather conditions.
The challenges of affordability and driving efficiency are solved by BaseTracK with a novel approach of precisely compiling track data for autonomous driving (geodata, inclines, speed limits, coefficients of fuel consumption and ecological efficiency, weather limitations, etc.).
GAZ Group
Russian automaker with a huge interest in innovations and several approaches to their application
The Arctic intelligent transport test ecosystem
Aurora enables testing connected and automated driving as well as intelligent infrastructure asset management tests and trials on cross-border corridor E8. The ecosystem facilitates testing in all conditions.
Name and Company