Patent ID: 11945450
Assignee: MERCEDES-BENZ GROUP AG
Field: Control (Instruments)
Classification: CPC B  G | IPC B  G

Claim 0:
1. A method for operating a highly automated or autonomous vehicle, the method comprising:
constantly recording, by the vehicle, surroundings of the vehicle to produce recorded surroundings data;
providing, by a central computing unit external to the vehicle to the vehicle, prediction parameters;
predicting, by the vehicle, a traffic situation of the vehicle at a future point in time using the recorded surroundings data and the prediction parameters;
recording, by the vehicle, upon reaching the future point in time, a current real traffic situation;
comparing, by the vehicle, the current real traffic situation to the predicted traffic situation;
determining, by the vehicle based on the comparison, whether the predicted traffic situation includes a prediction error; and
correcting, by the central computing unit responsive to determining that the predicted traffic situation includes the prediction error, the prediction parameters, wherein before driving along a route portion, the vehicle retrieves prediction parameters applicable to the route portion from at least one central computing unit external to the vehicle, and wherein, depending on the result of the prediction, a trajectory of the vehicle is planned for automatic driving operation taking probable movement behavior of other traffic participants into consideration,
automatically controlling or regulating the highly automated or autonomous vehicle based on the planned trajectory,
wherein the central computing unit corrects the prediction parameters based on datasets generated by a plurality of vehicles and transmitted to the central computing unit and the method further comprising
requesting, by the central computing unit, the plurality of vehicles to respectively transmit the datasets at positions characterized as critical and at which a prediction error is not present, wherein the dataset comprises data underlying the prediction, the prediction parameters, the predicted traffic situation, and the real traffic situation.