Method and device for increasing the share of automated driving in an at least partially automated vehicle
A method for increasing the share of automated driving in an at least partially automated vehicle involves monitoring the conditions for automated driving. The number of manual takeovers by the driver is reduced in order to utilize the advantages of automated driving optimally designed for traffic flow, traffic safety and energy balance, when conditions for automated driving are met, it is predicted by a model that automated driving will be ended by manual vehicle control. In the event that a takeover by the driver is predicted, information is output to the driver which informs the driver that automated driving is reliably in control of the driving situation.
1 . A method for increasing a share of automated driving in an at least partially automated vehicle, the method comprising:
during a first period of time
A. monitoring, by the at least partially automated vehicle, conditions of the automated driving of the at least partially automated vehicle, wherein the conditions of the automated driving comprise behavior of the at least partially automated vehicle, driving situations, and environmental conditions;
B. monitoring, using sensors of the at least partially automated vehicle, at least awareness and behavior of a driver of the at least partially automated vehicle;
C. determining, by the at least partially automated vehicle based on the monitored conditions, that conditions for at least partially automated driving are met;
D. training a model with the monitored conditions and the monitored at least awareness and behavior of the driver as input parameters;
E. predicting, by the at least partially automated vehicle using the trained model and responsive to the determination that the conditions for the automated driving are met, that the automated driving will be ended by manual vehicle control;
F. outputting, by the at least partially automated vehicle and responsive to predicting that a takeover by the driver may occur, information to the driver informing the driver that the automated driving is reliably in control of a driving situation of the at least partially automated vehicle;
G. adjusting, by the at least partially automated vehicle and responsive to predicting that a manual takeover by the driver may occur, at least one of speed or distance of the at least partially automated vehicle;
H. determining, by the at least partially automated vehicle, whether or not the driver attempted to the manual takeover of the at least partially automated vehicle; and
G. updating the trained model with the adjustment of the at least one of the speed or the distance of the at least partially automated vehicle and whether or not the driver attempted to the manual takeover of the at least partially automated vehicle; and
repeating A.-G. during a second period of time subsequent to the first period of time.
2 . The method of claim 1 , wherein a functional quality of the automated driving is determined by monitoring the conditions for the automated driving.
3 . The method of claim 2 , wherein when the manual vehicle takeover without prompting occurs and when conditions for the automated driving are met by the functional quality being above a predetermined limit value, the driver is informed of what driving operating data of hypothetical automated driving would have looked like without the manual vehicle takeover.
4 . The method of claim 1 , wherein the model is stored on a central server and is trained with data of a vehicle fleet.
5 . The method of claim 1 , wherein the information is output to the driver via function graphics, a voice output, or text output.
6 . The method of claim 4 , wherein driving parameters of the at least partially automated vehicle are determined to be effective for reducing takeover frequency and are transmitted to other vehicles via the central server.
7 . The method of claim 4 , wherein the sensors further monitor a condition of the driver and the condition of the driver is also used to train the model.