We develop an autonomous driving system. It works even without sensors like cameras, LiDAR (without AI), so it is applicable in all weather conditions. It uses different high-accuracy positioning methods.
We create basetracks – high-precision spatial driving routes that provides 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 system can be integrated into any existing or forthcoming autonomous driving solution or it can be upgraded with a custom set of sensors for obstacles detection and maneuvering.
Simplified approach for autonomous driving
The advantages of the ideal track data structure include the predetermined variability of control actionson 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.
BaseTracK is a simplified approach for autonomous driving and a more reliable and less expensive solution.
We do not believe that in the nearest future (7-10 years) people will use autonomous driving systems with in cities and among human-drivers. Humans are unpredictable drivers and human-AI cooperation is impossible now.
Meanwhile, humans are still better drivers in life-situations on any terrain. We believe, that AI-drivers can't be integrated gradually – only by one moment. When every driver will be artificial – vehicles could use all V2X and V2V technologies potential.