METHOD AND VEHICLE SYSTEM FOR OPTIMIZING PARKING SUGGESTIONS

Abstract

A method for optimizing parking suggestions of at least one driver assistance system for at least one vehicle. At least one route to a destination is determined. Potential parking possibilities are determined for the at least one vehicle along the previously determined route. An acceptance of a parking suggestion from a selection of parking suggestions or a rejection of a parking suggestion is determined. Termination information is determined. A termination phase and a termination reason are analyzed and classified. The analysis results are taken into account for a selection of future parking suggestions. A vehicle system is also described.

Claims

1-12. (canceled)

13. A method for optimizing parking suggestions of at least one vehicle assistance system for at least one vehicle, comprising the following steps: determining at least one route to a destination; determining potential parking options for the at least one vehicle along the determined route; establishing an acceptance of a parking suggestion from a selection of parking suggestions or a rejection of the parking suggestion; determining termination information; analyzing and classifying a termination phase and a termination reason; and using and taking into account results of the analyzing for a selection of future parking suggestions.

14. The method as recited in claim 13, wherein the acceptance of the parking suggestion is identified using acceptance indicators and the rejection of the parking suggestion is identified using rejection indicators.

15. The method as recited in claim 13, wherein data from video sensors, and/or ultrasonic sensors, and/or radar sensors, and/or LIDAR sensors, and/or odometry sensors and/or position sensors, are used for the analysis and classification of the termination phase and the termination reason.

16. The method as recited in claim 13, wherein the method is carried out based on machine learning methods.

17. The method as recited in claim 13, wherein the acceptance or the rejection of the parking suggestion is carried out by a parking assistance system or by a driver.

18. The method as recited in claim 13, wherein a rejection of a parking suggestion by a driver is carried out via a display, and/or via an infotainment system, and/or in voice-based fashion via a digital assistant.

19. The method as recited in claim 13, wherein the analysis and classification of the termination phase and the termination reason are carried out on a server unit external to the vehicle or on a control unit internal to the vehicle.

20. The method as recited in claim 13, wherein the method generates similar parking space suggestions for similar vehicles and/or similar driver preferences.

21. The method as recited in claim 13, wherein an analysis and classification of a termination phase and a termination reason of other vehicles are provided on the server unit external to the vehicle for parking space suggestions.

22. The method as recited in claim 13, wherein rejected parking spaces are excluded or given less consideration in the future for the vehicle and/or a driver.

23. The method as recited in claim 13, wherein a temporary or permanent exclusion is registered for rejected parking space suggestions.

24. A vehicle system for optimizing parking suggestions for at least one vehicle, the vehicle system configured to: determine at least one route to a destination; determine potential parking options for the at least one vehicle along the determined route; establish an acceptance of a parking suggestion from a selection of parking suggestions or a rejection of the parking suggestion; determine termination information; analyze and classify a termination phase and a termination reason; and use and take into account results of the analyzing for a selection of future parking suggestions.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0028] FIG. 1 shows a schematic vehicle system according to a specific embodiment according to the present invention.

[0029] FIG. 2 shows a schematic flow diagram for illustrating a method according to the present invention according to one specific embodiment.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

[0030] In the figures, identical design elements are respectively provided with the same reference numerals.

[0031] In FIG. 1, a vehicle system 1 according to one specific embodiment of the present invention is shown. The vehicle system 1 comprises at least one vehicle 2 which comprises a control unit 4 internal to the vehicle.

[0032] Control unit 4 is provided for evaluating a vehicle sensor system 6 and for operating an infotainment system 8. Vehicle sensor system 6 may comprise video sensors, radar sensors, ultrasonic sensors, LIDAR sensors, odometry sensors and/or position sensors, for example.

[0033] Furthermore, the at least one vehicle 2 comprises a communication unit 10 which control unit 4 may use for establishing a wireless communication connection 12 to an external server unit 14.

[0034] A parking assistance system may support the driver of vehicle 2 via infotainment system 8 in finding a parking space P. In this case, the parking assistance system may be provided via control unit 4 or via external server unit 14. In particular, the driver may be supported via a visual display or a voice-based system.

[0035] External server unit 14 or control unit 4 are designed to analyze the inputs and behavior of the driver via machine learning, thereby optimizing the parking assistance.

[0036] FIG. 2 shows a schematic flow diagram for illustrating a method 16 according to the present invention according to one specific embodiment. Method 16 facilitates the optimization of parking suggestions of at least one driver assistance system for the at least one vehicle 2.

[0037] In a step 17, at least one route to a destination is determined. Potential parking options P for the at least one vehicle 2 along the previously determined route are established 18. This may be done by control unit 4 which is internal to the vehicle or by server unit 14 which is external to the vehicle.

[0038] The parking options determined are recommended to the driver 19. Subsequently, it is determined whether the parking suggestion is accepted or rejected by the driver based on a selection of parking suggestions. This is preferably done in automated fashion in that control unit 4 or server unit 14 evaluate the behavior of the driver.

[0039] For example, the non-execution of a parking maneuver may be automatically detected 20 by the fact that a suggested parking space P was not approached by the driver.

[0040] Alternatively, a manual termination may be performed by the driver, or a parking space P suggestion may be manually rejected 21.

[0041] In the event that the parking suggestion is rejected 20, 21, termination information is collected 22, 23. In particular, the termination information may be collected automatically 22 by control unit 4 or by server unit 14. To this end, data from vehicle sensor system 6 may be analyzed along with a behavior of the driver. Alternatively, the driver may be queried 23 via infotainment system 8 as to a reason for a termination or a reason for a rejection. Steps 22 and 23 may also be carried out in parallel or in succession in this case.

[0042] The termination information is subsequently analyzed, and a termination phase is classified 24. In a further step 25, the termination information or the result of the analysis is used to adapt further parking suggestions to match the preferences and partialities of the driver and thereby to generate optimized parking suggestions. The analysis 24 and the utilization of the analysis 25 may be implemented by machine learning in particular, thereby improving the suggestions.