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A basic requirement for automated driving is to perceive and evaluate its surrounding. This requires the building of a comprehensive environment model.
In order to build a comprehensive environment model, data from five information clusters are needed. These are: traffic participants, static environment, traffic control information, robust lane information as well as the current and precise position of the vehicle.
In order to gather this information various sensors are needed. These include: camera, radars, high flash lidar and surround view cameras. Each sensor uses its own unique approach to recognize and interpret the environment differently. Bringing this data together (fusion) sharpens the view and is key to providing a consistent view of the surrounding.
This consistent view of the surrounding is therefore a prerequisite to being able to make the car react correctly, according to any given traffic situation.