DE102018206666A1 - A method for applying a prediction profile of a driver of a vehicle and method for warning a driver of a vehicle from a situation with too low a driver's performance - Google Patents

Abstract

The invention relates to methods of warning a driver of a vehicle of a situation where the driver's performance is too low, the method having at least one step of reading in and a step of outputting. In the step of reading a driving situation signal (115) is read in, which represents a current driving situation. In the step of outputting, a warning signal (120) is output using the driving situation signal (115) and a prediction profile (125). The predication profile (125) represents an expected performance drop depending on the driving situation. The warning signal (120) is output if the current driving situation corresponds to a driving situation of the predication profile (125) with expected power loss.

Description

State of the art

The invention is based on a method according to the preamble of the independent claims. The subject of the present invention is also a device and a computer program.

The DE 10 2012 011 084 A1 describes a method for determining a degree of fatigue of a driver, in which the time, the duration and the intermediate destination for a break of a trip depending on the degree of fatigue of the driver are determined.

The DE 10 2012 219 283 A1 describes an apparatus and a method for changing the driving of a driver assistance system of a vehicle, taking into account a reduced performance of the driver of the vehicle.

Disclosure of the invention

Against this background, the method presented here introduces two methods, furthermore a device which uses at least one of these methods, and finally a corresponding computer program according to the main claims. The measures listed in the dependent claims advantageous refinements and improvements of the independent claim device are possible.

The approach presented here has the advantage that with the aid of the methods presented here, a driver of a vehicle can be warned when a driving situation occurs in which a drop in the driver's performance can be expected. This is to increase the safety of advantage, since the driver can be warned, for example, before the onset of a critical situation. By means of a prediction profile of the driver, such a situation can be predicted. Advantageously, both the current or individual performance of the driver and the driving situation can be taken into account for determining the prediction profile, as a result of which driver-specific situation determination and warning can be made possible.

A method is provided for alerting a driver of a vehicle to a situation where the driver's performance is too low. The method comprises at least one step of reading in a driving situation signal and a step of outputting a warning signal. In the step of reading in, the driving situation signal is read in which represents a current driving situation. In the step of outputting, the warning signal is output using the driving situation signal and a prediction profile. The prediction profile represents an expected performance drop depending on the driving situation. The warning signal is output if the current driving situation corresponds to a driving situation of the predication profile with expected power loss.

The vehicle may be, for example, a car, truck or bus, or another mobile means of transport for passenger or freight traffic, for example a land, water or aircraft, or even a commercial vehicle or another man-powered engine operated engine, such as a construction machine. By way of example, the driver's ability to perform can be understood as meaning his degree of fatigue, his reaction rate, his attention level or his physical performance or a combination of the mentioned performance factors. The current driving situation represented by the driving situation signal can be a traffic situation, for example with regard to the traffic conditions or traffic participants, for example infrastructure information or traffic information (traffic jam) or the driving situation can include environmental information, for example regarding the light or weather conditions, or driver-specific driving situation information , such as the already traveled distance or time or information on the last break of the driver. A drop in the driver's performance may, for example, be understood as a detected inattentiveness of the driver or a detected degree of tiredness. The prediction profile represents an expected performance drop depending on the driving situation. For this purpose, the prediction profile may include parameters for previous driving situations with a power loss, for example a tabular correlation, a trained CNN (Convolutional Neuronal Network) or Gaussian method of performance parameters and driving situation parameters, for example a combination of several driving situation parameters in which a driver's power loss is particularly significant or within a particularly short time. Now, if a corresponding driving situation or a driving situation with a certain proportion of the driving situation parameters in which a power loss has been detected, currently reappears, the warning signal can be issued, and the driver can be alerted to a present or approaching critical situation, for example one To avoid or counteract performance degradation.

In addition, a method for creating a prediction profile of a driver of a vehicle is presented. The method has at least a step of reading in a performance signal and a driving situation signal, a step of detecting a power-down signal, and a step of generating a prediction profile. In the read-in step, the performance signal representing a current performance of the driver is read. In addition, the driving situation signal is read in the step of reading, representing a current driving situation. In the step of determining, the power-down signal is detected when the value provided by the performance signal reaches or falls below a predetermined performance threshold. In the step of generating, the prediction profile is determined using the power-down signal and the current-situation signal current at the time of outputting the power-down signal. The prediction profile represents a performance drop expected depending on the driving situation. The vehicle, the driving situation, the performance, the power loss and the prediction profile may correspond to those described above. The performance of the driver can also be represented, for example, by means of a plurality of parameters, for example a general physical fitness in conjunction with a current degree of fatigue or a current steering behavior in connection with the last rest period. A drop in power may be understood to mean a continuous decrease in the driver's ability to perform, for example due to increasing fatigue, or a sudden drop in performance, for example in the form of a driver's temporary inattention. The prediction profile is determined using the power-down signal and the current-situation signal current at the time of outputting the power-down signal. This time may be, for example, the same time in relation to the time, or a period shortly before and / or after the output of the power-down signal, for example, the period of 15 seconds before and / or after.

In one embodiment, in the step of reading in addition, a tachograph signal, a drivability signal, and an attention signal may be read to determine the performance signal using the tachograph signal, the driver response signal, and the attention signal. The tachograph signal represents at least one driver-specific tachograph parameter. The driving behavior signal represents at least one driving behavior detected by means of a driver assistance system of the vehicle. The attention signal represents at least one driver's attention detected by a driver detection device of the vehicle. The tachograph parameter may be, for example, a parameter provided by a digital tachograph representing, for example, a driver's driving or resting time, or a driving time interruption, a driven speed, a value relating to the driving distance, or a combination of the said values. The detected driving behavior can be, for example, a detected steering or braking behavior, or a reaction behavior of the driver to objects detected in the vehicle environment by means of an environment detection device of the vehicle. The driver's attention may be, for example, by means of a parameter provided by an interior camera of the vehicle, for example a driver monitoring system, for example with respect to the direction of vision or the eye closing time of the driver. Advantageously, it is thus possible to take into account a variety of factors for determining the performance of the driver in order to achieve a particularly accurate result in this way and to reliably determine the performance of the driver.

In addition, the method for applying a prediction profile according to an embodiment may include a step of storing the performance signal after a predetermined period of time to create a driver's proficiency profile using at least two stored performance signals. For this purpose, the step of storing may be repeated, for example, several times, for example at a predetermined time interval in relation to the driving time, for example always 5 minutes after starting the vehicle and then at intervals of 10 minutes for the entire journey. Advantageously, a performance profile of the driver can thus also be created by means of the method, which represents the driver's capability over a longer period of time. This is particularly advantageous when the driver can be tasked with driving professional vehicles, for example, to consider a driver-specific performance profile in the suitability of the driver for certain commercial vehicles or work machines or in resource planning, for example in building data modeling.

In addition to the step of storing, in one embodiment, the method may also include a step of forming a recommendation signal to recommend driver-specific driving times. The recommendation signal may be formed using at least one driver-specific tachograph parameter and the performance profile and a travel time threshold. The travel time threshold represents predetermined statutory provisions for driver's driving and rest times. Advantageously, by means of this embodiment, for example, the rigid driving and rest times of a driver determine the vehicle class or a specific type of vehicle, taking into account the statutory requirements, in order to adapt the driving and rest periods to the driver's performance. For example, this can contribute to the increase in safety if the driving time of the driver is reduced in terms of its performance.

The method for applying a prediction profile of a driver of a vehicle may, according to one embodiment, also comprise a step of determining the attention signal. When determining the attention signal, at least one detected by a driver detection device of the vehicle position and / or movement of the head and / or movement of at least one eye of the driver can be used. For example, for this purpose, an interior camera of the vehicle, for example a driver observation system with camera, can provide a parameter regarding the head position, the head direction, the viewing direction, the frequency of the eyelid, eye closing times and the eye movements of the driver. The attention signal can then be detected by means of one or more of the mentioned parameters.

The method of alerting a driver of a vehicle to a driver underperforming situation may also include the steps of the method of applying a driver's prediction profile of a vehicle according to an embodiment. Advantageously, thus, the prediction profile can be determined and used, for example to warn the driver of a situation in which his performance may decrease or may be reduced.

In addition, in the step of outputting the warning signal and / or in the step of outputting the power-down signal, the method according to this embodiment may output the warning signal and / or the power-down signal to a driving assistance system of the vehicle. The method may then include an additional step of driving (or activating) the driver assistance system of the vehicle to intervene in the handling of the vehicle. Advantageously, in a situation in which the driver has lost his performance or is predicted by means of the predication profile, the driver assistance system can influence the driving behavior of the vehicle, for example by reducing the driving speed in order to avoid a critical situation.

The method of alerting a driver of a vehicle to a situation where the driver's performance is too low and / or the method of applying a prediction profile may, according to one embodiment, also comprise a step of generating the driving situation signal. The driving situation signal represents at least one driving situation parameter detected by means of a vehicle system. For this purpose, for example, a driving situation parameter detected with respect to the traffic situation or the traffic conditions can be used or, for example, a driving situation parameter detected by means of a sensor device can be used with respect to the light or weather conditions, or it can be an operator activity or a combination detected by another vehicle system the said parameters are used as driving situation parameters. Advantageously, therefore, a variety of factors of the driving situation can be taken into account, which may affect the performance or attention of the driver. Thus, the driving situation with respect to the warning signal and / or the power loss signal can be determined particularly accurately and thus reliably.

This method can be implemented, for example, in software or hardware or in a mixed form of software and hardware, for example in a control unit.

The approach presented here also creates a device that is designed to perform the steps of a variant of a method presented here in appropriate facilities to drive or implement. Also by this embodiment of the invention in the form of a device, the problem underlying the invention can be solved quickly and efficiently.

For this purpose, the device may comprise at least one computing unit for processing signals or data, at least one memory unit for storing signals or data, at least one interface to a sensor or an actuator for reading sensor signals from the sensor or for outputting data or control signals to the sensor Actuator and / or at least one communication interface for reading or outputting data embedded in a communication protocol. The arithmetic unit may be, for example, a signal processor, a microcontroller or the like, wherein the memory unit may be a flash memory, an EEPROM or a magnetic memory unit. The communication interface can be designed to read or output data wirelessly and / or by line, wherein a communication interface that can read or output line-bound data, for example, electrically or optically read this data from a corresponding data transmission line or output in a corresponding data transmission line.

In the present case, a device can be understood as meaning an electrical device which processes sensor signals and outputs control and / or data signals in dependence thereon. The device may have an interface, which may be formed in hardware and / or software. In the case of a hardware-based embodiment, the interfaces can be part of a so-called system ASIC, for example, which contains a wide variety of functions of the device. However, it is also possible that the interfaces are their own integrated circuits or at least partially consist of discrete components. In a software training, the interfaces may be software modules that are present, for example, on a microcontroller in addition to other software modules.

Also of advantage is a computer program product or computer program with program code which can be stored on a machine-readable carrier or storage medium such as a semiconductor memory, a hard disk memory or an optical memory and for carrying out, implementing and / or controlling the steps of the method according to one of the embodiments described above is used, especially when the program product or program is executed on a computer or a device.

• 1 eine schematische Darstellung einer Vorrichtung zum Warnen eines Fahrers eines Fahrzeugs vor einer Situation mit einer zu geringen Leistungsfähigkeit des Fahrers gemäß einem Ausführungsbeispiel;
• 2 eine schematische Darstellung einer Vorrichtung zum Anlegen eines Prädikationsprofils eines Fahrers eines Fahrzeugs gemäß einem Ausführungsbeispiel;
• 3 eine schematische Darstellung einer Vorrichtung zum Anlegen eines Prädikationsprofils eines Fahrers eines Fahrzeugs gemäß einem Ausführungsbeispiel;
• 4 ein Ablaufdiagramm eines Verfahrens zum Warnen eines Fahrers eines Fahrzeugs vor einer Situation mit einer zu geringen Leistungsfähigkeit des Fahrers gemäß einem Ausführungsbeispiel;
• 5 ein Ablaufdiagramm eines Verfahrens zum Anlegen eines Prädikationsprofils eines Fahrers eines Fahrzeugs gemäß einem Ausführungsbeispiel;
• 6 ein Ablaufdiagramm eines Verfahrens zum Warnen eines Fahrers eines Fahrzeugs vor einer Situation mit einer zu geringen Leistungsfähigkeit des Fahrers gemäß einem Ausführungsbeispiel;

Embodiments of the approach presented here are shown in the drawings and explained in more detail in the following description. It shows:

• 1 a schematic representation of an apparatus for warning a driver of a vehicle against a situation with too low performance of the driver according to an embodiment;
• 2 a schematic representation of an apparatus for applying a prediction profile of a driver of a vehicle according to an embodiment;
• 3 a schematic representation of an apparatus for applying a prediction profile of a driver of a vehicle according to an embodiment;
• 4 a flowchart of a method for warning a driver of a vehicle before a situation with too low performance of the driver according to an embodiment;
• 5 a flowchart of a method for applying a prediction profile of a driver of a vehicle according to an embodiment;
• 6 a flowchart of a method for warning a driver of a vehicle before a situation with too low performance of the driver according to an embodiment;

In the following description of favorable embodiments of the present invention, the same or similar reference numerals are used for the elements shown in the various figures and similar acting, with a repeated description of these elements is omitted.

1 shows a schematic representation of a device 100 for warning a driver of a vehicle of a situation with insufficient performance of the driver according to an embodiment. The device 100 has a read-in device 105 and an output device 110 on. The reading device 105 is designed to be a driving situation signal 115 read in, which represents a current driving situation. The output device 110 is designed to be a warning signal 120 issue. The warning signal 120 is using the driving situation signal 115 and a predication profile 125 output. The predication profile 125 represents an expected performance drop depending on the driving situation. The warning signal 120 is output if the current driving situation of a driving situation of the predication profile 125 corresponds to expected performance drop.

The device 100 For example, by means of a predetermined processing instruction, for example in the form of pattern recognition, it can determine whether the current driving situation is one in the predication profile 125 stored driving situation with expected performance drop corresponds. Thus, it can advantageously be determined in a driver-specific manner in which situations and / or in which context the driver was inattentive. By means of the device 100 can be recognized in this way, in which context a drop in performance of the driver occurred, for example, in the form of attention and fatigue problems. In the case of the driving situation signal 115 represented driving situation may be, for example, a congestion, or a straight-ahead driving, or certain light and / or weather conditions, certain traffic conditions, information about a road user, environmental information, or information about the infrastructure, an operator activity , a time of day, miles and times already traveled, information about whether a route has ever been driven, or a specific routine of the driver, especially in relation to the route, for information regarding a previous break or rest period, or around a combination of the above Options. A correlation search for determining whether the current driving situation of a driving situation of the predication profile 125 corresponds to expected power loss, and the warning signal 120 can be output by means of device 100 using a suitable processing protocol. The correlation search, for example, online in a sufficiently powerful digital tachograph as a device 100 or in a cloud as a device 100 with a backend of a service provider. Finally, the found correlations can be learned in a model, and at runtime of the device 100 be supplied with the current data. Thus, in the future, with currently recognized similar situations, the driver by means of the warning signal 120 be warned in advance.

According to one embodiment, the warning signal 120 be issued to a driver assistance system of the vehicle to control the driver assistance system to intervene in the handling of the vehicle. Thus, a predictive system intervention is also possible, for example by means of a power or speed reduction of the vehicle.

2 shows a schematic representation of a device 200 for creating a predication profile 125 a driver of a vehicle according to an embodiment. The predication profile 125 can do that in the previous one 1 represented prediction profile 125 be. The device 200 includes a read-in device 205 , a determination device 210 and a creator 215 , The reading device 205 is designed to be a performance signal 220 read. The performance signal 220 represents a current performance of the driver. In addition, the read-in device 205 adapted to a driving situation signal 115 read in, which represents a current driving situation. The driving situation signal 115 can be the driving situation signal 115 match that in 1 is read. The determination device 210 is designed to be a power-down signal 225 to determine if by the performance signal 220 provided value reaches or falls below a predetermined performance threshold. The creation device 215 is designed using the power-down signal 225 and at the time of outputting the power-down signal 225 current driving situation signal 115 the predication profile 125 to create the prediction profile represents an expected performance drop depending on the driving situation.

3 shows a schematic representation of the device 200 for creating a predication profile 125 a driver of a vehicle according to another embodiment. The device shown here 200 the same as in the previous one 2 shown device 200 However, in addition, it has a memory device 305 with a performance profile 310 on. In addition, the read-in device 205 alternatively designed to be a tachograph signal 315 , a driving behavior signal 320 and an attention signal 325 to read using the tachograph signal 315 , the driver response signal 320 and the attention signal 325 the performance signal 220 to investigate. The tachograph signal 315 represents at least one driver-specific tachograph parameter. The driving behavior signal 320 represents at least one detected by a driver assistance system of the vehicle driving behavior. The attention signal 325 represents at least one of the driver detected by a driver detection device of the vehicle attention.

Advantageously, according to this embodiment, parameters detected by a tachograph, a driving assistance system and a driver observation system may be related to the performance signal representing the performance of the driver 220 to investigate. For example, a driver monitoring system, a so-called driver monitoring system, can be linked to a digital tachograph and an online evaluation of the driver reaction to the respective driving situation. This advantageously makes it possible to record driver and / or operator-specific driving and / or operating times, as well as a driver and / or operator-specific analysis of the capabilities and / or limits with regard to a machine, a work process and an environment, and a driver and / or operator / or user-specific context-based recognition and learning of critical situations or relationships. By means of the predication profile 125 Thus, the predicability of driver-specific and / or operator-specific critical situations can take place in order to initiate possible system interventions and / or avoidance strategies. The inclusion of the transport infrastructure in the prevention of critical situations can also be made possible. Advantageously, an assessment and / or comparability and / or monitoring of drivers and / or operators can thus be made possible, as well as a driver and / or operator-specific attention-based accident cause analysis after accidents or critical situations.

The device 200 includes according to the embodiment shown here, the memory device 305 , The storage device 305 is designed to be the performance signal 220 after a predetermined period of time to save using at least two stored Performance signals 220 the performance profile 310 of the driver.

Optionally, the device can 200 According to one exemplary embodiment, it may be configured to provide a recommendation signal for recommending driver-specific travel times using at least one driver-specific tachograph parameter and the performance profile 310 and to determine a travel time threshold, wherein the travel times threshold represents predetermined statutory provisions for driving and rest periods of the driver. Such a trained device 200 can be used, for example, to increase the availability of commercial vehicles and reduce the risk of accidents based on a flexibilization of the driver's driving and rest periods using the recommendation signal.

The attention signal 325 can be determined according to the embodiment shown here using at least one detected by means of a driver detection device of the vehicle position and / or movement of the head and / or movement of at least one eye of the driver. The data representing the driver's attention, for example, in addition to the recorded by a tachograph data from the tachograph, and thus can not be manipulated and recorded for authorities in retrospect, be recorded. The tachograph can then, in addition to the data to be recorded so far, record data representing the driver's attention about the distance traveled and an evaluation of the driver's reaction with respect to the respective driving situation. For example, a frequency of the song beat, eye closing times, a head position, a head direction, a gaze direction, a steering performance such as a directional fidelity, a steering correcting behavior, or a response to dangerous situations, and a braking behavior such as a drive-up to a preceding vehicle or a response to hazardous situations. If the vehicle has sensors for the detection of classified objects in the environment, for example cameras, the classified object can also be stored with the head direction or viewing direction and the sighted classified object. This data can be used, for example, for a permitted flexibilization of the rigid driving and resting times.

By means of the device 200 Accordingly, for example, individually, ie driver-specific, either an increase in the driving time and thus an increase in vehicle availability or a reduction in driving time or increase in rest time and thus an increase in traffic safety can be made possible by the performance signal 220 represented determined performance of the driver, so for example, the driving behavior and the driver reactions, suggest that the driving ability of the driver is no longer sufficient, so if, for example, the power loss signal 225 is issued. By storing all the data in the storage device 305 and the driver's individual driving or rest time determined by the tachograph, it is always possible for the legislature to check afterwards whether the driver has kept to the specifications. For example, if the driving times are exceeded, and insufficient attention of the driver is detected, the power-down signal may 225 be determined and it may be issued a warning with the request timely to pause, for example by means of in 1 described device. If, for example, attention is insufficient by the time the driver starts to pause, a driver assistance system can set the vehicle in a safe state by the power-down signal 225 according to one embodiment, to the driver assistance system of the vehicle to control the driving assistance system to intervene in the driving behavior of the vehicle, for example in the form of a reduction in speed or in the driver's complete inattention represented by, for example, a dedicated output of the power loss signal 225 , a holding of the vehicle. In automatic steering systems, a steering intervention is possible for this purpose.

When the power-down signal 225 For example, if insufficient attention of the driver several times within a certain period of, for example, 10 minutes, is spent, for example, the specified by the tachograph travel time can also be shortened. If, for example, the rest time is shortened, and the driver nevertheless has an adequate capacity so that no power-down signal is output, then the driver can be signaled a permissible continuation of the journey. Conversely, onward travel could be prevented if it were to output the power-down signal 225 comes. In any event, the recording of the tachograph infringes and / or suspends pauses and rest periods, and by means of the memory device 310 stored performance signals 220 and the performance profile 310 the associated driver-specific performance detectable, for example, based on the attention data of the attention signal 325 , Ultimately, the personal and different fitness and performance of the drivers can be taken into account, and a correspondingly sufficient performance or Attention can be rewarded by allowing longer travel times and / or shorter breaks.

The recorded data of the device 200 For example, they can also be used to subsequently train drivers in a driver-specific manner, to punish misconduct and to include the driver's attention in the reconstruction of the accident in case of accidents. This can also be due to the attention signal 325 represented attention parameters (eg was seen in the rearview mirror, was looked at the accident subject, what has distracted the driver to be used).

It is also conceivable, the performance profile 310 to use the performance of the driver when considering a driver's suitability as an operator for certain machinery, operations, environments and situations and in the clearance or access authorization or training requirements for particular machinery. The performance profile 310 can then be used, for example, in conjunction with scheduling systems, such as building data modeling or building information modeling.

In addition, it is conceivable, with a sufficient degree of equipment of the vehicle or the machine, routes or areas with increased problems with regard to the attention or with a high accident risk of several drivers by merging the prediction profiles 125 to recognize and due to the found correlations sufficient evidence to give measures. In this way, for example, intervene online in the infrastructure, it can, for example, prohibitions and bids on electronic road signs and / or street lighting are adjusted accordingly. On construction sites that are very different, dangerous situations can be detected in good time and accidents or damage avoided.

4 shows a flowchart of a method 400 for warning a driver of a vehicle of a situation with insufficient performance of the driver according to an embodiment. The procedure 400 includes at least one step 401 reading in a driving situation signal and a step 403 issuing a warning signal. In step 401 the driving situation signal, which represents a current driving situation, is read in. In step 403 the warning signal is output using the driving situation signal and a prediction profile. The prediction profile represents an expected performance drop depending on the driving situation. The warning signal is output if the current driving situation corresponds to a driving situation of the predication profile with expected power loss.

The procedure 400 According to one embodiment, also a step 405 of generating the driving situation signal. The driving situation signal represents at least one driving situation parameter detected by means of a vehicle system. The step 405 can before the step 401 respectively.

5 shows a flowchart of a method 500 for applying a prediction profile of a driver of a vehicle according to an embodiment. The procedure 500 includes at least one step 501 of reading in and one step 503 determining and a step 505 of creating. In step 501 When read in, a performance signal and a driving situation signal are read in. The performance signal represents a current performance of the driver. The driving situation signal represents a current driving situation. In step 503 determining, a power-down signal is detected when the value provided by the performance signal reaches or falls below a predetermined performance threshold. In step 505 When creating, a predication profile is created. The prediction profile is generated using the power-down signal and the current-situation signal current at the time of outputting the power-down signal. The prediction profile represents an expected performance drop depending on the driving situation.

The procedure 500 may according to one embodiment additionally a repeated step 507 of storing the performance signal. The performance signal may be stored after a predetermined period of time to create a driver performance profile using at least two stored performance signals. The step 507 can after the step 501 respectively.

In this case, the procedure can 500 optionally one step according to one embodiment 509 forming a recommendation signal. The recommendation signal for recommending driver-specific travel times is formed using at least one driver-specific tachograph parameter and the performance profile and a travel time threshold value. The travel time threshold represents predetermined statutory provisions for driver's driving and rest times. The step 509 can follow the step 507 be performed.

In addition, the process can 500 according to one embodiment, a step 511 of Detecting the attention signal. In step 511 For detecting the attention signal, a position and / or movement of the head detected by means of a driver detection device of the vehicle and / or movement of at least one eye of the driver is used. The step 511 can before the step 501 be executed.

The procedure 500 According to one embodiment, also a step 513 of generating the driving situation signal. The driving situation signal represents at least one driving situation parameter detected by means of a vehicle system. The step 513 can before the step 501 respectively.

6 shows a flowchart of a method 400 for warning a driver of a vehicle of a situation with insufficient performance of the driver according to an embodiment. The procedure 400 also includes the steps according to the embodiment shown here 501 . 503 . 505 , and optionally one or more of the steps 507 . 509 . 511 and 513 of in 5 illustrated method for applying a prediction profile of a driver of a vehicle according to an embodiment. The steps 501 . 503 and 505 can before the step 403 respectively. Optionally, the steps 507 . 509 . 511 and 513 also before the step 403 in the previous one 5 described order.

If an exemplary embodiment comprises a "and / or" link between a first feature and a second feature, then this is to be read so that the embodiment according to one embodiment, both the first feature and the second feature and according to another embodiment either only first feature or only the second feature.

QUOTES INCLUDE IN THE DESCRIPTION

This list of the documents listed by the applicant has been 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.

Cited patent literature

• DE 102012011084 A1 [0002]
• DE 102012219283 A1 [0003]

Claims (12)

A method (500) for applying a prediction profile (125) of a driver of a vehicle that represents an expected power loss depending on the driving situation, wherein the method (500) has at least the following steps: Reading (501) a performance signal (220) representing a current performance of the driver and reading a driving situation signal (115) representing a current driving situation; Determining (503) a power-down signal (225), and outputting the power-down signal (225) when the value provided by the performance signal (220) reaches or falls below a predetermined performance threshold; Creating (505) a predication profile (125) using the power-down signal (225) and the current driving-state signal (115) at the time of outputting the power-down signal (225), wherein the prediction profile (125) represents an expected power loss depending on the driving situation. Method (500) according to Claim 1 wherein in step (501) of reading a tachograph signal (315) representing at least one driver specific tachograph parameter and a driving behavior signal (320) representing at least one driving behavior detected by a driving assistance system of the vehicle and an attention signal (325) comprising at least representing a driver's attention detected by a driver's detection means of the vehicle, are read in to determine the performance signal (220) using the tachograph signal (315), the driving behavior signal (320) and the attention signal (325). Method (500) according to Claim 1 or 2 a repeated step (507) of storing the performance signal (220) after a predetermined period of time to create a driver performance profile (310) using at least two stored performance signals (220). A method (400) for alerting a driver of a vehicle to a situation where the driver's performance is too low, the method (400) comprising at least the following steps: Reading (401) a driving situation signal (115) representing a current driving situation; and Outputting (403) a warning signal (120) using the driving situation signal (115) and a prediction profile (125) that represents an expected power loss depending on the driving situation if the current driving situation corresponds to a driving situation of the predication profile (125) with expected power loss. The method (500) according to one of the preceding claims, comprising a step (509) of forming a recommendation signal for recommending driver-specific travel times using at least one driver-specific tachograph parameter and the performance profile (310) and a travel times threshold, wherein the travel times threshold value predefined statutory provisions for driving and driving Rest periods of the driver represents. Method (500) according to one of the preceding claims, comprising a step (511) of determining the attention signal (325), wherein at least one detected by a driver detection device of the vehicle position and / or movement of the head and / or movement of at least one eye of the driver used becomes. Method (400) according to one of Claims 1 to 3 . 5 or 6 and at least the steps of the method (500) according to Claim 4 . Method (400) according to Claim 7 in which in step (403) of issuing the warning signal (120) and / or in step (503) of determining the power-down signal (225), the warning signal (120) and / or the power-down signal (225) is output to a driving assistance system of the vehicle , and a step of driving the driver assistance system to intervene in the drivability of the vehicle. Method (400; 500) according to one of the preceding claims, comprising a step (405; 513) of generating the driving situation signal (115), wherein the driving situation signal (115) represents at least one driving situation parameter detected by means of a vehicle system. Apparatus (100; 200) arranged to execute and / or drive the steps of the methods (400; 500) according to any preceding claim in respective units. Computer program adapted to execute and / or control the method (400; 500) according to one of the preceding claims. Machine-readable storage medium on which the computer program is based Claim 11 is stored.

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