Continental Autonomous Mobility Germany Gmbh

Tudor Nicosevici

A method of continuously, adaptive detection of environment features in autonomous and assisted driving of an ego-vehicle connected to a server and to a plurality of other vehicles. The method includes data collection by the ego-vehicle in which, based on the machine learning model of the ego-vehicle, the acquired sensor data—among which images, generate a specific scenario interpretation. When feedback is received that the scenario interpretation is wrong, the corresponding images of the ego-vehicle are encoded, hashed and sent to a server with the request to broadcast them to the plurality of other vehicles requesting the other vehicles to communicate the server specific similar scenario interpretations. Then, the other vehicles identify the specific combination of environment features corresponding to the wrong scenario interpretation, acquire their own sensor data and process same, including images that are extracted, encoded and hashed.

Growing community of inventors

Timisoara, Romania

Tudor Nicosevici