The first stage in the autonomous vehicle system is the perception stage.

The environment both near and further away is combined with localization data.

The autonomous vehicle must be able to work under all types of road, weather and light conditions. This includes nighttime, low light conditions, fog, rain, snow, black ice etc.

To be able to properly plan the right course of action the vehicle must perceive its location and itsenvironment. The environmental sensing is derived from inputs from its many sensors - cameras, radar, lidar, ultrasonic, GNSS etc. The data from the sensors is then either pre-processed locally or sent as raw data to the tracking system. The fused data for the tracked object(s) will then be handled by the next stage of the system.

VSORA s algorithm agnostic architecture makes it easy to implement the algorithms using high-level (Matlab-like) language.