DE102021118157A1 - Method, system and computer program product for adaptive individual configuration of a remote driving function - Google Patents

Abstract

The invention relates to a method for the adaptive individual configuration of at least one remote driving function of a motor vehicle with a drive system, a plurality of different vehicle components, at least one control module with at least one processor, at least one data communication system and a camera and sensor device, comprising: - creating a User request for at least one selected remote driving function by entering data and/or images and/or vehicle properties using a software application on a user interface;- sending the user request to the processor and/or a memory module and/or to a cloud computing infrastructure ;- processing the user request from the processor and/or the cloud computing infrastructure to determine the required configuration of the selected remote vehicle function and the associated operational operations of the propulsion system and/or at least st one of the vehicle components and/or the camera and sensor device;- instructing the drive system and/or at least one of the vehicle components and/or the camera and sensor device through the control module and/or other control components, the determined operating operations for the selected remote driving function to perform.

Description

The present invention relates to a method, system and computer program product for adaptive individual configuration of a remote driving function.

Semi-autonomous and autonomous vehicles are equipped with camera systems and sensors to gather information about the vehicle's surroundings. Intelligent parking space search assistance systems are known that recognize and display suitable parking spaces when driving past. The driver of the car can now activate a software application for parking and the vehicle is then automatically parked. In particular, the software application can also be installed on an electronic device, such as a mobile phone, so that the driver of the vehicle can get out before parking and use the software application to navigate the vehicle into a parking space. Parking in a garage is also possible in this way. Since the vehicle is controlled from outside, such assistance systems are also referred to as remote vehicle functions. Other well-known remote vehicle functions relate, for example, to remote starting an internal combustion engine in order to remotely prepare the vehicle for starting, or activating seat heating or air conditioning.

However, the desired driving style of a driver, such as in particular sporty or comfortable, has so far not been taken into account in the remote vehicle functions, so that individual preferences of a driver cannot be realized with a remote driving function.

the EP 3 269 606 B1 describes a method for parking a hybrid motor vehicle. An electronic control unit is configured to control the engine and the rotary electric machine so that starting the engine when the parking operation of the hybrid vehicle is performed is more difficult compared to starting the engine when the parking operation of the hybrid vehicle is not performed.

the DE 20 2018 106 839 U1 describes a device for controlling a flap exhaust of a motor vehicle, the flap exhaust comprising a flap with a servomotor and a control unit for the servomotor, which communicates with a data bus of the motor vehicle.

the U.S. 10,308,244 B2 relates to a method for automatically navigating a vehicle from a current location to a destination, the vehicle being controlled by an electronic device such as a smart device outside the vehicle.

the DE 10 2015 114 797 A1 describes a vehicle control module configured to automatically reduce key-off functions of a motor vehicle during a parking operation.

It is therefore an object of the present invention to create a method, a system and a computer program product for the adaptive individual configuration of at least one remote driving function of a motor vehicle for a user, which is easy to use and can be set individually.

This object is achieved according to the invention with regard to a method by the features of patent claim 1, with regard to a system by the features of patent claim 14 and with regard to a computer program product by the features of claim 15. The further claims relate to preferred embodiments of the invention.

The invention enables a personalized configuration of a remote driving function for a motor vehicle, for example a remote engine start function or a remote parking function or a remote monitoring function, so that the individual wishes of a user with regard to the technical framework of the remote driving function can be taken into account.

• - Erstellen einer Benutzeranforderung für zumindest eine ausgewählte Remote-Fahrfunktion durch die Eingabe von Daten und/oder Bildern und/oder Fahrzeugeigenschaften mittels einer Softwareapplikation auf einer Benutzerschnittstelle;
• - Senden der Benutzeranforderung an den Prozessor und/oder ein Speichermodul und/oder an eine Cloud-Computing-Infrastruktur;
• - Bearbeiten der Benutzeranforderung von dem Prozessor und/oder der Cloud-Computing-Infrastruktur zur Ermittlung der erforderlichen Konfiguration der ausgewählten Remote-Fahrzeugfunktion und der damit verbundenen Betriebsoperationen des Antriebssystems und/oder zumindest einer der verschiedenen Fahrzeugkomponenten und/oder der Kamera- und Sensoreinrichtung;
• - Anweisen des Antriebssystems und/oder zumindest einer der verschiedenen Fahrzeugkomponenten und/oder der Kamera- und Sensoreinrichtung durch das Steuerungsmodul und/oder weiterer Steuerungskomponenten, die ermittelten Betriebsoperationen für die ausgewählte Remote-Fahrfunktion durchzuführen.

According to a first aspect, the invention relates to a method for the adaptive individual configuration of at least one remote driving function of a motor vehicle with a drive system, a plurality of different vehicle components such as a heating system, an air conditioning system, a lighting system, a drive train, wheels and brake systems, at least one control module with at least one processor, at least one data communication system and a camera and sensor device. The procedure comprises the following procedural steps:

• - Creating a user request for at least one selected remote driving function by entering data and/or images and/or vehicle properties using a software application on a user interface;
• - sending the user request to the processor and/or a memory module and/or to a cloud computing infrastructure;
• - Process the user request from the processor and/or the cloud computing infrastructure to determine the required configuration of the selected remote vehicle function and the associated operating operations of the drive system and/or at least one of the various vehicle components and/or the camera and sensor device;
• - Instruction of the drive system and/or at least one of the various vehicle components and/or the camera and sensor device by the control module and/or further control components to carry out the determined operating operations for the selected remote driving function.

In a further development it is provided that authentication of a user is required for the creation of the user request.

In an advantageous embodiment it is provided that a numeric or alphanumeric PIN code, a password, a one-time PIN code, a security token, a TAN method, or a biometric feature such as face recognition and/or a Fingerprint and/or iris recognition is used.

A further embodiment provides for the data and/or images and/or vehicle properties sent from the user interface to the processor and/or the cloud computing infrastructure to be cryptographically encrypted in order to create the user request.

In a further development it is provided that the vehicle properties include a driving mode such as sporty or comfortable.

In particular, the remote driving functions include a remote start function for starting the motor vehicle and/or a remote parking function for parking in a parking space, for example in a multi-storey car park, and/or a remote garage function for driving in and out of a garage and/or or a remote monitoring function.

In a sporty driving mode, the drive system and/or at least one of the various vehicle components are advantageously controlled in such a way that a speed overshoot when starting and/or an increased idling speed and/or overrun babble and/or open exhaust gas flaps in a combustion engine and/or an open wastegate in a turbocharger and/or the generation of gas shocks and/or a high charging torque in a hybrid vehicle or electric vehicle and/or an activation of artificial engine noises is/are generated.

Advantageously, in a comfortable driving mode, the drive system and/or at least one of the various vehicle components are controlled in such a way that purely electric starting in a hybrid vehicle and/or purely electric vehicle propulsion in a hybrid vehicle and/or a reduction in brake noise through a reduced idling speed and/or or a reduction in noise emissions is activated by closed exhaust gas flaps and/or a closed wastegate in a turbocharger and/or the setting of a low charging moment in a hybrid vehicle or electric vehicle and/or the use of waste heat from a fuel cell.

In particular, the user interface is designed as a mobile terminal

A further development provides that when the remote monitoring function is activated, images from the surroundings of the motor vehicle and/or the interior of the motor vehicle are displayed on the user interface.

In particular, the images and data recorded by the camera and sensor device are evaluated by the processor and/or the cloud computing infrastructure using image processing algorithms and an alarm is output on the user interface in the event of conspicuous objects.

A further development of the method provides that the processor and/or the cloud computing infrastructure use artificial intelligence algorithms such as reinforcement learning and/or neural networks to determine the required configuration of the at least one remote vehicle function and the associated operating operations of the drive system and/or at least one of the various vehicle components and/or the camera and sensor device is used according to the created user request.

In particular, the determined configurations of the drive system and/or the vehicle modules are transmitted to the control device of the drive system and the respective control device of the vehicle modules from the central control module by means of a data communication system.

According to a second aspect, the invention relates to a system for the adaptive individual configuration of at least one remote driving function. The system includes at least one motor vehicle with a drive system, a plurality of vehicle components such as a heating system, an air conditioning system, a lighting system, a drive train, wheels and brake systems, at least one control module with at least one processor, at least one data communication system and a camera and sensor device, and at least one software application on a user interface. The system is designed to carry out the method according to the first aspect.

According to a third aspect, the invention provides a computer program product comprising executable program code configured to perform the method of the first aspect.

• Dabei zeigt:
  • 1 eine schematische Darstellung des erfindungsgemäßen Systems;
  • 2 ein Flussdiagramm zur Erläuterung der einzelnen Verfahrensschritte des erfindungsgemäßen Verfahrens;
  • 3 zeigt schematisch ein Computerprogrammprodukt gemäß einer Ausführungsform des dritten Aspekts der Erfindung.

Further features, aspects and advantages of the invention or its embodiments are explained in the detailed description in connection with the following figures:

• It shows:
  • 1 a schematic representation of the system according to the invention;
  • 2 a flowchart to explain the individual steps of the method according to the invention;
  • 3 shows schematically a computer program product according to an embodiment of the third aspect of the invention.

In the following description, for purposes of explanation and not limitation, specific details are set forth in order to provide a thorough understanding of the present invention. It will be apparent to those skilled in the art that the present invention may be practiced in other implementations that depart from these specific details.

In 1 a system 200 for the adaptive configuration of a remote driving function 10 of a motor vehicle 20 is shown. The motor vehicle 20 includes an interior and is powered by a drive system 30 . The drive system 30 can include a conventional internal combustion engine, or an internal combustion engine and at least one electric motor for a hybrid drive, or at least one electric motor or at least one fuel cell. Furthermore, a data communication system 40 is provided, which communicates with the drive system 30 and various motor vehicle modules 50 . The data communication system 40 can be embodied as a CAN bus (Control Area Network). Motor vehicle modules 50 can be a heating system 51 for the interior and/or for vehicle seats, an air conditioning system 52, a lighting device 53, a drive train 54, wheels 55, brake systems 57, etc. Furthermore, a vehicle battery 35 is provided, which can include different battery types and supplies the different modules 50 and components of the motor vehicle 10 with electrical energy. In a hybrid vehicle or an electric vehicle, the vehicle battery 35 also includes a traction battery for the electric motor. Furthermore, a fuel cell can be provided.

In addition, a camera and sensor device 70 is provided for recording data and images from the exterior and/or interior of motor vehicle 20 . The camera and sensor device 70 includes, in particular, a plurality of, preferably at least four, individual cameras, each of which records an image from the surroundings of the motor vehicle 20 . The cameras are preferably arranged on the front, the rear and on the two side surfaces of the motor vehicle 20, so that the four images are each recorded offset by 90°. In particular, the images are each a video signal consisting of a sequence of individual images. The cameras are designed in particular as RGB cameras in the visible range with the primary colors blue, green and red. However, an additional UV camera in the ultraviolet range and/or an IR camera in the infrared range can also be provided. The cameras, which differ in terms of their recording spectrum, can thus display different lighting conditions in the recording area. Furthermore, the recording frequency of the cameras can be designed for high speeds of the motor vehicle 20 and can record image data with a high image recording frequency.

In addition, it can be provided that the camera and sensor device 70 automatically starts the image recording process when there is a significant change in terms of area in the recording area of the camera and sensor device 70, for example if an object such as another vehicle, a person or an animal is in the recording area of the camera and sensor mount 70 appears. This enables a selective data acquisition process and only relevant image data is recorded by the camera and sensor recording device 70 . This allows computing capacities to be used more efficiently.

In particular, it is intended to use weatherproof action cameras for the cameras, which can be arranged in particular outside of the vehicle 20 . Action cameras have wide-angle fisheye lenses, making it possible to achieve a viewable radius of over 90°. In particular, the recording radius can reach 180°, so that two cameras are sufficient to capture the surroundings of the vehicle 20 in within a radius of 360°. Action cameras can usually record videos in Full HD (1,920 x 1,080 pixels), but action cameras in Ultra HD or 4K (at least 3,840 x 2,160 pixels) can also be used, resulting in a significant increase in image quality. The frame rate is typically 60 frames per second in 4K and up to 240 frames per second in Full HD. An integrated image stabilizer can also be provided. In addition, action cameras are often equipped with an integrated microphone so that additional acoustic signals can be recorded. In addition, methods of differential signal processing can be used to selectively suppress background noise.

Furthermore, a GPS connection (Global Positioning System) 80 is advantageously provided in order to determine the geographic location and assign it to the recorded image data.

The drive system 30, the data communication system 40, the motor vehicle modules 50 and the camera and sensor device 70 are connected to a control module 90. Furthermore, the control module 90 is connected to the GPS system 80 . The control module 90 comprises at least one processor 92, at least one memory module 94 and at least one mobile radio module 95 for communication with a user interface 100 and/or a cloud computing infrastructure 110.

The processor 92 includes algorithms for controlling the various motor vehicle modules 50 and the drive system 30, the camera and sensor device 70, algorithms for image processing and algorithms for the configuration and implementation of various remote driving functions 10. It is also conceivable that the processor 92 the cloud computing infrastructure 110 and/or a further database 120, in which, for example, the recorded images and data of the camera and sensor device 70 and/or further extraction parameters such as specific objects or road features for analysis of the recorded images and data and/or or parameters are stored. Furthermore, target variables and target values that define a security standard can be stored in the cloud computing infrastructure 110 or the database 120 .

In the context of the invention, a “processor” can be understood to mean, for example, a machine or an electronic circuit. A processor can in particular be a central processing unit (CPU), a microprocessor or a microcontroller, for example an application-specific integrated circuit or a digital signal processor, possibly in combination with a memory unit for storing program instructions, etc . A processor can also be understood to mean a virtualized processor, a virtual machine or a soft CPU. It can also be a programmable processor, for example, which is equipped with configuration steps for executing the mentioned method according to the invention or is configured with configuration steps in such a way that the programmable processor has the inventive features of the method, the component, the modules, or other aspects and/or or implemented partial aspects of the invention. In addition, the processor 92 can advantageously use an AI hardware accelerator such as the Coral Dev Board to enable real-time processing. This is a microcomputer with a tensor processing unit (TPU) that allows a pre-trained software application to evaluate up to 70 frames per second.

In the context of the invention, a “memory unit” or a “memory module” and the like can mean, for example, a volatile memory in the form of a random-access memory (RAM) or a permanent memory such as a hard disk or a data carrier or e.g. B. be understood as a removable memory module. However, the storage module can also be a cloud-based storage solution.

In connection with the invention, a “module” can be understood to mean, for example, a processor and/or a memory unit for storing program instructions. For example, the processor is specially set up to execute the program instructions in such a way that the processor and/or the control unit executes functions in order to implement or realize the method according to the invention or a step of the method according to the invention.

In particular, the mobile radio module 95 can have the 5G standard. 5G is the fifth-generation mobile communications standard and, compared to the 4G mobile communications standard, is characterized by higher data rates of up to 10 Gbit/sec, the use of higher frequency ranges such as 2100, 2600 or 3600 megahertz, increased frequency capacity and thus increased data throughput and real-time data transmission because up to one million devices per square kilometer can be addressed simultaneously. The latency times are a few milliseconds to less than 1 ms, so that data and calculation results can be transmitted in real time possible. Thus, the image and sensor data determined by the camera and sensor device 70 can be sent by the control module 90 in real time to the cloud computing infrastructure 110, where the corresponding analysis and calculation is carried out. The analysis and calculation results are sent back to the control module 90 in real time. This speed of data transmission is required if cloud-based solutions are to be used to process the image and sensor data. Cloud-based solutions offer the advantage of high and therefore fast computing power.

The algorithms used by the processor 92 and/or the cloud computing infrastructure 110 can in particular be artificial intelligence algorithms. In particular, neural networks can be used as algorithms for image processing processes. A neural network consists of neurons that are arranged in several layers and connected to each other in different ways. A neuron is able to receive information from outside or from another neuron at its input, to evaluate the information in a certain way and to pass it on to another neuron in a changed form at the neuron output or to output it as the end result. Hidden neurons are located between the input neurons and output neurons. Depending on the network type, there can be several layers of hidden neurons. They ensure the forwarding and processing of the information. Finally, output neurons deliver a result and output it to the outside world. Different types of neural networks such as feedforward networks, recurrent networks or convolutional neural networks are created by the arrangement and linking of the neurons. The networks can be trained through unsupervised or supervised learning

The convolutional neural network is a special form of an artificial neural network. It has multiple layers of convolution and is well suited for machine learning and artificial intelligence (AI) applications in the field of image and speech recognition. The network works reliably and is not sensitive to distortions or other optical changes. CNN can process images captured under different lighting conditions and from different perspectives. It still recognizes the typical features of an image. Since the CNN is divided into several local, partially connected layers, it requires significantly less storage space than fully connected neural networks. The convolutional layers drastically reduce storage requirements. The training time of the convolutional neural network is also greatly reduced. With the use of modern graphics processors, CNNs can be trained very efficiently. The CNN uses filters to detect and extract features from the input images. First of all, the CNN recognizes simple structures such as lines, color features or edges in the first levels. In the further levels, the convolutional neural network learns combinations of these structures such as simple shapes or curves. With each level, more complex structures can be identified. The data is repeatedly resampled and filtered in the layers.

Remote vehicle functions 100 are vehicle functions that are performed by the control module 90, the drive system 30 and the various vehicle modules 50 and/or the camera and sensor device 70 due to automatic activation and/or manual activation by a user via the user interface 100. The user, who is usually the driver of motor vehicle 20, is usually outside of motor vehicle 20. Known remote driving functions 10 are a remote start function for starting motor vehicle 20, a remote parking function for parking in a parking space for example in a parking garage and a remote garage function for driving in and out of a garage. A remote monitoring function is also possible, in which the images recorded by the camera and sensor device 70 are forwarded to the user interface 100 and displayed there. These remote driving functions 10 are activated via the user interface 100 using a software application 102.

The user interface 100 has at least one software application 102 for displaying at least one remote driving function 10 and for entering additional data. In particular, the user interface 100 is designed as a mobile terminal device with a touchscreen as a display, in particular as a smartphone.

However, such remote driving functions 10, in which the motor vehicle 20 is controlled remotely, cannot be adjusted to the individual wishes of a user, but are fixed in terms of their sequence, so that they can be activated by the user or by an automatic starting process proceed according to a defined scheme. So far, for example, the manner in which a start-up process is carried out cannot be changed by a user.

According to the invention, a vehicle owner or a user can use a software application (app) 102 on the user interface 100, esp enter data and/or images and/or certain desired vehicle properties such as the driving mode on the mobile device. A user request 105 is created by the software application 102 or by the processor 92 and/or by the cloud computing infrastructure 110 from the entered data and/or images and/or desired vehicle properties. The user request 105 can also be stored so that it can be retrieved when needed.

The data and/or images and/or vehicle properties can be entered directly by the user using the software application 102 on the user interface 100 . However, it is also possible for the software application 102 to provide predefined properties and selection variants that only have to be clicked on. The design of the software application 102 can therefore be varied.

In addition, authentication of the user before entering the data, images, vehicle properties, etc. may be required so that the user can prove that he is authorized to create a user request 105 for a specific vehicle 20 . Evidence of authorization can be provided, for example, via a password, a numeric or alphanumeric PIN code, a signature card, a security token, a TAN procedure, a one-time PIN code or biometric features such as a fingerprint, face recognition or iris recognition . Proof of authorization is sent to the processor 92 or cloud computing infrastructure 110 to determine whether the user is authorized to create a user request 105 for a particular vehicle 20 . If authorized, processor 92 or cloud computing infrastructure 110 sends user interface 100 a confirmation that authentication has occurred. The user can now begin entering the data to create User Request 105 . The data and/or images and/or vehicle properties entered on a mobile terminal device using software application 102 are sent from the mobile terminal device to processor 92 and/or memory module 94 and/or cloud computing infrastructure 110 via a radio link for creation the user request 105.

Based on the user request 105, the processor 92 and/or the cloud computing infrastructure 110 determines the required configuration for the selected remote vehicle function 10 and the associated operating operations of the propulsion system 30 and/or at least one of the various vehicle components 50 and/or the camera - And sensor device 70. In this case, it is calculated in particular which settings and configurations are to be made on the individual vehicle components 50 and/or the drive system 30 of the motor vehicle 20 on the basis of the user request 105 for the implementation of the desired remote vehicle function 10. Algorithms, in particular those of artificial intelligence, such as methods of reinforcement learning and/or neural networks, can be used to calculate these configurations.

Then the drive system 30 and/or at least one of the various vehicle components 50 and/or the camera and sensor device 70 is instructed by the control module 90 and/or by further control components to carry out the determined operating operations for the selected remote driving function 10 . The configurations of the drive system 30 and/or the respective vehicle modules 50 determined by the processor 92 and/or the cloud computing infrastructure 110 are transmitted from the central control module 90 to the control device of the drive system 30 and the respective control devices of the required vehicle modules 50 by means of the Data communication system 40 transmitted.

In order to prevent the data entered or the created user request 105 from being spied on, cryptographic encryption methods are advantageously used, with asymmetric encryption such as OpenPGP, S/MIME and cryptographic protocols such as SSH or SSL/TLS being able to be provided in particular.

The vehicle properties are, in particular, a driving mode such as sporty or comfortable. In a sporty driving mode, it can be provided that the drive system 30 and/or at least one of the various vehicle components 50 is controlled in such a way that a speed overshoot when starting and/or an increased idling speed and/or overrun babble and/or open exhaust gas flap at a Internal combustion engine and/or an open wastegate in a turbocharger and/or gas bursts and/or a high charging torque in a hybrid vehicle or electric vehicle and/or an activation of artificial engine noises is/are generated.

In a comfortable driving mode, provision can be made for the drive system 30 and/or at least one of the various vehicle components 50 to be controlled in such a way that purely electric starting in a hybrid vehicle and/or purely electric vehicle propulsion in a hybrid vehicle and/or a reduction in brake noise by a reduced idle speed number and/or a reduction in noise emissions is generated by closed exhaust flaps and/or a closed wastegate in a turbocharger and/or the setting of a low charging torque in a hybrid vehicle or electric vehicle.

When the remote monitoring function is switched on, the camera and sensor device 70 is activated so that it records images and sensor data from the surroundings of the motor vehicle 20 and/or the interior of the motor vehicle 20 . The recorded images and sensor data can then be displayed on the user interface 100 via a wireless connection. Provision can be made here for the recorded images and sensor data to be sent beforehand to the processor 92 and/or the cloud computing infrastructure 110, for example for storage purposes or for image processing. Thus, the images and data recorded by the camera and sensor device 70 can be evaluated by the processor 92 and/or the cloud computing infrastructure 110 using image processing algorithms, and an alarm is output on the user interface 100 in the event of conspicuous objects. For example, creating the user request 105 for the remote monitoring feature may include specifying a time period for monitoring, such as 9 p.m. to 4 a.m., or selecting cameras, such as all cameras in the front of the vehicle or turning on a night vision camera .

In the 2 the process steps of the method according to the invention are shown.

In a step S10, a user request 105 for at least one selected remote driving function 10 is created by entering data and/or images and/or vehicle properties using a software application 102 on a user interface 100.

In a step S20 the user request 105 is sent to the processor 92 and/or a memory module 94 and/or to a cloud computing infrastructure 110 .

In a step S30, the user request 105 is processed by the processor 92 and/or the cloud computing infrastructure 110 to determine the required configuration of the at least one remote vehicle function 10 and the associated operating operations of the drive system 30 and/or at least one of the various vehicle components 50 and/or the camera and sensor device 70 is processed.

In a step S40, the drive system 30 and/or at least one of the various vehicle components 50 and/or the camera and sensor device 70 is instructed by the control module 90 and/or other control components to carry out the determined operating operations for the selected remote driving function 10.

3 Figure 12 schematically illustrates a computer program product 400 comprising executable program code 450 configured to carry out the method according to the first aspect of the present invention.

The respective created user request 105 thus enables an individual setting and configuration of remote vehicle functions 10 . A user who maintains a sporty driving style can also have remote vehicle functions 10 such as a remote start or a remote parking process carried out in the same driving mode. Conversely, a more comfortable driving mode can be deliberately selected. Overall, this can lead to increased acceptance of the use of remote driving functions 10, because the difference, for example, between a parking process carried out by the user himself and an automated parking process is minimized, since the user decides how the remote driving function 10 is carried out himself can determine. With a remote monitoring function 10, the user can use the camera and sensor device 70 of the motor vehicle 20 for monitoring purposes, for example when temporarily parking the motor vehicle 20 in a public area. During parking, the surroundings of the motor vehicle 20 are recorded and the user can view the images on their smartphone at any time, thereby increasing parking safety.

Reference List

10

Remote vehicle function

20

motor vehicle

30

drive system

35

vehicle battery

40

data communication system

50

automotive modules

51

heating system

52

climate system

53

lighting system

54

powertrain

55

Wheels

57

braking system

70

Camera and sensor system

80

GPS connection

90

control module

92

processor

94

memory module

95

cellular module

100

user interface

102

software application

105

user requirement

110

cloud computing infrastructure

120

Database

200

system

400

computer program product

450

program code

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• EP 3269606 B1 [0004]
• DE 202018106839 U1 [0005]
• US 10308244 B2 [0006]
• DE 102015114797 A1 [0007]

Claims (15)

Method for the adaptive individual configuration of at least one remote driving function (10) of a motor vehicle (20) with a drive system (30), a plurality of different vehicle components (50) such as a heating system (51), an air conditioning system (52), a lighting system ( 53), a drive train (54), wheels (55) and braking systems (57), at least one control module (90) with at least one processor (92), at least one data communication system (40) and a camera and sensor device (70). : - Creating (S10) a user request (105) for at least one selected remote driving function (10) by entering data and/or images and/or vehicle properties using a software application (102) on a user interface (100); - sending (S20) the user request (105) to the processor (92) and/or a memory module (94) and/or to a cloud computing infrastructure (110); - Processing (S30) the user request (105) from the processor (92) and/or the cloud computing infrastructure (110) to determine the required configuration of the selected remote vehicle function (10) and the associated operating operations of the drive system (30 ) and/or at least one of the various vehicle components (50) and/or the camera and sensor device (70); - Instructions (S40) of the drive system (30) and/or at least one of the various vehicle components (50) and/or the camera and sensor device (70) by the control module (90) and/or other control components, the determined operating operations for the selected Perform remote driving function (10). procedure after claim 1 , wherein authentication of a user is required for creating the user request (102). procedure after claim 2 , whereby a numeric or alphanumeric PIN code, a password, a one-time PIN code, a security token, a TAN method, or a biometric feature such as face recognition and/or a fingerprint and/or iris recognition is used for authentication is used. Procedure according to one of Claims 1 until 3 , wherein the data and/or images and/or vehicle properties sent from the user interface (100) to the processor (92) and/or the cloud computing infrastructure (110) are cryptographically encrypted for the creation of the user request (105). Procedure according to one of Claims 1 until 4 , wherein the vehicle characteristics include a driving mode such as sporty or comfortable. Procedure according to one of Claims 1 until 5 , wherein the remote driving functions (10) include a remote start function for starting the motor vehicle (20) and/or a remote parking function for parking in a parking space, for example in a multi-storey car park, and/or a remote garage function for driving in and out exit from a garage and/or a remote monitoring function. procedure after claim 5 or 6 , wherein in a sporty driving mode the drive system (30) and/or at least one of the various vehicle components (50) are controlled in such a way that a speed overshoot when starting and/or an increased idling speed and/or overrun babble and/or open exhaust flap in an internal combustion engine and/or an open wastegate in a turbocharger and/or gas bursts and/or a high charging torque in a hybrid vehicle or electric vehicle and/or activation of artificial engine noises is/are generated. procedure after claim 5 or 6 , wherein in a comfortable driving mode the drive system (30) and/or at least one of the various vehicle components (50) are controlled in such a way that purely electric starting in a hybrid vehicle and/or purely electric vehicle propulsion in a hybrid vehicle and/or a reduction in the Brake noise is activated by a reduced idling speed and/or a reduction in noise emissions through closed exhaust flaps and/or a closed wastegate in a turbocharger and/or the setting of a low charging torque in a hybrid vehicle or electric vehicle and/or the use of waste heat from a fuel cell. Procedure according to one of Claims 1 until 8th , wherein the user interface (100) is designed as a mobile terminal. Procedure according to one of Claims 6 until 9 , wherein when the remote monitoring function is activated, images from the area surrounding the motor vehicle (20) and/or the interior of the motor vehicle (20) are displayed on the user interface (100). procedure after claim 10 , wherein the images and data recorded by the camera and sensor device (70) are processed by the processor (92) and/or the cloud computing infrastructure (110) are evaluated by means of image processing algorithms and an alarm is output on the user interface (100) in the event of conspicuous objects. Method according to one of the preceding claims, wherein the processor (92) and/or the cloud computing infrastructure (110) uses artificial intelligence algorithms such as reinforcement learning and/or neural networks to determine the required configuration of the at least one remote vehicle function (10 ) and the associated operating operations of the drive system (30) and/or at least one of the various vehicle components (50) and/or the camera and sensor device (70) according to the created user request (105). Method according to one of the preceding claims, wherein the determined configurations of the drive system (30) and/or the vehicle modules (50) are sent to the control device of the drive system (30) and the respective control device of the vehicle modules (50) from the central control module (90) by means of a Data communication system (40) are transmitted. System (100) for the adaptive individual configuration of at least one remote driving function (10), comprising at least one motor vehicle (20) with a drive system (30), a plurality of vehicle components (50) such as a heating system (51), an air conditioning system (52 ), a lighting system (53), a drive train (54), wheels (55) and brake systems (57), at least one control module (90) with at least one processor (92), at least one data communication system (40) and a camera and sensor device (70), and a software application (102) on a user interface (100), wherein the system (100) is designed, the method according to one of Claims 1 until 13 to execute. Computer program product (400), comprising an executable program code (450), which is configured so that the method according to any one of Claims 1 until 13 to execute.

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