BHAITECH MOTION CONTROL

let your autonomous solution drive any car

BHAITECH MOTION CONTROL

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MOTION CONTROL FOR AUTONOMOUS

 

Let your autonomous solution drive any car under all operating conditions.

 

 

That is the challenge we have taken on.

 

 

Next generation of embedded vehicle models based on real-time identification of

vehicle operating conditions and maneuverability limits.

 

As a player, BhaiTech can provide to the autonomous community

its next generation of vehicle models for embedded application.

 

 

 

BHAITECH MOTION CONTROL®

 

 

The so called “learned control” is the output of a machine learning algorithm that has been generally trained using real-world human driving data on specific vehicles in specific operating conditions.

As such, the machine learning approach inevitably suffers from limited applicability of the learned control to different vehicles in different operating conditions. The human control recorded on a vehicle could easily lead to a different outcome in terms of positioning, stability and comfort when transferred to another vehicle or simply to the same vehicle under different operating conditions.

BHAITECH MOTION CONTROL ® provides a solution which makes it possible the sharing of raw learned control among different vehicle in different operating conditions.

The output of BHAITECH MOTION CONTROL ® is the operating control obtained from the test of the learned control against the actual vehicle dynamics.

BHAITECH VEHICLE MODEL®

 

 

BHAITECH MOTION CONTROL® solution is based on a fully non-linear transient vehicle model.

 

 

NEXT GENERATION OF VEHICLE MODELS

BHAITECH proprietary vehicle model belongs to the next generation of vehicle models based on real-time identification of vehicle operating conditions and maneuverability limit. Our vehicle model is therefore able to deliver an unprecedented level of accuracy in the estimate of vehicle response.

 

ACCURACY ON DEMAND

Extensive optimization work has been conducted in order to reduce BHAITECH vehicle model requirements in terms of vehicle data. The result of this investigation has allowed the mapping of model accuracy against the amount of data employed to describe the vehicle.

The cooperation with our partners in the field of motion control is now driven by the concept of accuracy on demand.

 

Media

VEHICLE DYNAMICS FOR AUTONOMOUS