Rahio | Making Future Autonomous

Self Driving

ADAS Advanced Driver Assistance System, to help the driver in the driving process. Safety features are designed to avoid collisions and accidents by offering the AI technology that alert the driver from potential problems and warn them to take measures before dangers happens.



Rahio produces programming that conducts sensor combination – gathering information from camera sensors just as radar and LiDAR sensors. We utilize a creative and restrictive arrangement of calculations to recognize objects and the sheltered way ahead. This Environmental Model is the essential wellspring of data to help the framework’s dynamic.


Autonomous vehicles will require numerous framework redundancies to manage unanticipated conditions. A superior quality guide is required for exact confinement of the vehicle, comparative with street limits and crossing points, under all conditions.

Driving Policy

When autonomous vehicles can detect the scene around it restrict itself on a map, the last piece permitting it to impart the way to human drivers is driving policy. Sensing, mapping and ground-breaking registering stages give the vehicle super-human sight and response times. Rahio’s reinforcement learning for driving policy will give the human-like instinct and conduct required to examine multivariable circumstances and haggle with human drivers.