Method for recognizing objects in an environment of a vehicle

A vehicle system, including:

• a sensor system having at least one sensor unit configured to register an environment of a vehicle;
• and
• an evaluation unit operably connected to the sensor system, and configured to evaluate sensor data received from the at least one sensor unit, the sensor data comprising a plurality of chronologically successive measurements;
• wherein the evaluation unit is configured to recognize objects in an environment of the vehicle and is configured to:
• input the sensor data into a machine learning algorithm of a machine learning module;
• output an estimated object state of at least one object estimated based on the sensor data by way of the machine learning module;
• determine a plurality of chronologically successive future object states based on the estimated object state;
• transform the future object states into a coordinate system of the at least one sensor unit to obtain a transformed future object state for each of the future object states;
• ascertain deviations between the transformed future object states and measurements chronologically corresponding to the transformed future object states based on the sensor data;
• and
• correct the machine learning algorithm based on the deviations.