BaseTracK - autonomous driving sistem

Our technology provides efficient autonomous driving of any ground, marine or air vehicle
in undetermined weather conditions
BaseTracK technology provides autonomous driving within a road lane without visual recognition of the road marking, while reaching speeds up to 130 km/h in undetermined weather conditions (rain, snow, etc.), which is achieved by receiving high-precision navigational data.
BaseTracK concept
BaseTracK winter test on ice
The proposed approach provides highway autonomous driving and supports lane-keeping assistance systems in cases of road marking visual recognition failures.
The composition of the technical solution includes in-vehicle automation kit, hybrid navigation system, safety subsystem of risk assessment.

Autonomous driving

and its challenges
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.).
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.

self-driving cars

should be reconsidered
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