DE102018210593A1 - Driving ability detection device for a vehicle - Google Patents

Abstract

The invention relates to a driving ability detection device (1) for a vehicle (2). The ability to drive recognition device (10) comprises a computing unit (10), a sensor unit (30) configured to detect driving profile data, a memory unit (20) configured to store driving profiles, and a recognition unit (40) configured to recognize the current driver of the vehicle Vehicle (2), on. The arithmetic unit (10) is configured to evaluate the driving profile data for at least one driver and to create at least one driving profile therefrom and to store this on the memory unit (20). Furthermore, the arithmetic unit (10) is adapted to evaluate the current driving profile data and to create a current driving profile for the current driver and to compare this with the current stored driving profile of the current driver. Furthermore, the arithmetic unit (10) is set up to output a warning (50) if a predefined threshold value is exceeded in the comparison.

Description

The invention relates to a vehicle driving ability detection apparatus, a vehicle having such a driving ability detection apparatus, a method for determining a driving ability of a driver, a program item and a computer readable medium.

In modern vehicles, driver assistance systems are increasingly installed to assist the driver while driving. However, some drivers drive a vehicle without being able to do so, which can lead to an increased accident risk. For example, if the driver is in an emotionally strained or overtired state, he or she may not be able to pay close attention to traffic and driving a vehicle.

It is an object of the invention to increase road safety.

This object is solved by the subject matter of the independent claims. Embodiments and further developments can be taken from the dependent claims, the description and the figures.

A first aspect of the invention relates to a driving ability recognition apparatus for a vehicle. The driving capability detection device comprises a computing unit, a sensor unit configured to detect driving profile data, a memory unit or sensor circuit configured to store driving profiles, and a detection unit or detection circuit configured to detect the current driver of the vehicle. The arithmetic unit, for example in the form of one or more processors, an arithmetic circuit or a switching arrangement, is set up to evaluate the driving profile data for at least one driver and to use this to create at least one driving profile and store it on the memory unit. Furthermore, the arithmetic unit is set up to evaluate the current driving profile data and to use this to create a current driving profile for the current driver and to compare this with the current stored driving profile of the current driver. Furthermore, the arithmetic unit is set up to issue a warning if a predefined threshold value is exceeded in the comparison.

In order to determine whether a driver is still fit to drive or whether the driver suffers from health restrictions, the arithmetic unit can analyze or analyze the current driving profile and compare it with a driver profile stored by the driver to assess or estimate the driving ability of the driver , If the current driving profile differs significantly from the stored driving profile, the driving ability of the driver may be limited and the driver may currently not be able to drive a vehicle safely in traffic. A significant deviation can be given when exceeding or falling below a predefined threshold. This predefined threshold value can be, for example, at a deviation of ± 5, 10 or 15%. Here, the current driving profile may be too tense or too aggressive or too relaxed or too quiet.

The recognition unit can recognize the current driver of the vehicle. This can be done by the recognition unit, for example, based on the vehicle key, an input device, a fingerprint, an interior camera or the driver's mobile phone. Furthermore, the sensor unit can detect driving profile data. These driving profile data may include, for example, the speed, the acceleration, the steering angle, the distance to the vehicle ahead, the operation of the horn, the operation of the turn signal and other data. From the driving profile data, the computing unit can create a driving profile and assign this to a driver. Furthermore, the driving profile can be stored on the storage unit so that it can later be used as a comparison. It should be noted that the arithmetic unit can also have several driving profiles, for example when the vehicle is driven by several drivers. Furthermore, the driving profile can be continuously expanded and adjusted so that it is further refined over time and can better adapt to the respective driver of the vehicle. This also changes in the driving profile of the driver can be considered because a driver also over time adapts to his vehicle and can change his driving behavior. For example, in the evaluation or analysis of the driving profile data, the arithmetic unit can determine that the driver is more of an aggressive driver, since he is driving with high longitudinal and lateral accelerations. Alternatively or additionally, the arithmetic unit can also determine that a driver is more of a restrained driver if he always does not drive faster than, for example, 130 km / h or leaves much distance to the vehicle in front. For the detection of the driving profile data, at least one sensor unit with one, but in particular several, vehicle sensors can be provided. Furthermore, the arithmetic unit can evaluate and / or analyze the current driving profile of the current driver. This current driving profile can be compared with the stored driving profile of the current driver to conclude on the ability to drive, a load condition or a stress level of the driver or to estimate these. In this case, the driving ability of the driver may be limited if the comparison a predefined threshold exceeds or falls below. When evaluating or analyzing the driving profile data or when closing on the ability to drive, a driver-individual correlation can be taken into account, since with each driver different degrees of deviation can lead to inability to drive. If a malfunction of the driver is detected by the driving ability recognition device, the arithmetic unit can issue a warning. This warning can eg directly to the driver, for example in the form of a visual or audible signal, to a third party, such as an ambulance, or the warning can automatically slow down or stop the vehicle. It should be noted that the type and intensity of the warning may depend on the magnitude of the deviation from the threshold value, for example, with a slight deviation, an indication to the driver to pause and with a greater deviation, the speed of the vehicle can be reduced.

By evaluating or analyzing the driving profile of the current driver can be dispensed with additional sensors, for example, in the interior. Eye opening sensors also show reliability limitations. Further, not all reasons for driver inoperability may be recognized by a driver sensor, for example, a camera-based eye-opening sensor may be difficult to detect the influence of alcohol. In the above-described and subsequently described driving ability recognition device, the direct effects of unfitness for driving on the driving style of the current driver are taken into account, thus it can be determined whether the driver is still roadworthy.

The sensor unit or the sensors for detecting the driving profile data may already be present in the vehicle. For example, the sensor unit may rely on in-vehicle data, e.g. the vehicle BUS, e.g. CAN or Profibus, also LiDAR, camera, ultrasound and / or radar can already be present in the vehicle.

In a further embodiment, the arithmetic unit may further take into account driver data such as pulse, blood pressure, respiratory rate and / or skin resistance in the driving profile. Heart rate variability or cardiac rhythm variation may serve as an indicator of the driver's stress level. The detection of the driver data can be done by at least one, in particular several, driver sensors.

It should be noted that the arithmetic unit can close by the comparison on a current driving ability of the driver. In particular, if the deviation between the current driving profile and the stored driving profile has a certain threshold value, e.g. ± 5, 10 or 15%, this indicates an impairment of the driver. This impairment can be caused for example by stress, alcohol, a health impairment, such as a disease, medication or fatigue.

Alternatively or additionally, a driver-individual correlation can be included in the evaluation and creation of the driving profile, since each driver reacts somewhat differently to a specific driving situation. For example, some drivers feel very uncomfortable at dusk or dark, which can lead to a different driving profile and other drivers are not significantly affected by dusk or darkness. Also, some drivers feel uncomfortable when driving on the highway or the city. These driver-specific characteristics can be taken into account in the creation of the driving profile. In particular, the driver-individual correlation can be determined via previous measurements and their analysis over time. In other words, the time, day, location and traffic situation can be taken into account in the driving profile.

It should be noted that the arithmetic unit may be a control unit of a vehicle, or a CPU or processor with a memory and a data processing device. Furthermore, the arithmetic unit can also be a circuit that can process electronic data.

It should be noted that the sensor unit may be a sensor which detects driver and / or vehicle data which are suitable for deriving or creating a driving profile therefrom. For example, the sensor unit may include an acceleration sensor, a speed sensor, a yaw rate sensor, a rotation rate sensor, a potentiometer, a steering angle sensor, a switch, a camera, an ultrasonic sensor, a lidar sensor, a radar sensor, a speed sensor, a heart rate monitor, a shift point sensor, a GPS sensor , a brake pressure sensor, a gyroscope, or a combination thereof.

According to one embodiment of the invention, the arithmetic unit is adapted to adapt a display or an operating element of the vehicle based on the ability to drive or the health of the driver.

In other words, the displays, such as the display, or the controls, such as buttons, buttons and pushers, can be adapted to the driving ability of the driver or the driver state. For example, if the driver is too aggressive or too tense ( caused, for example, by stress), the color and / or intensity of the display are changed, so that this has a calming effect on the driver. For example, the display can be dimmed and the color adjusted to a blue tone. Alternatively or additionally, in the case of a restrained or too relaxed driver status (eg in case of fatigue), the display or the operating elements can be changed in such a way that they have a stimulating effect on the driver, for example intense and red.

According to a further embodiment of the invention, the recognition unit is set up to recognize the current driver by reading a vehicle key.

In order to compare the current driver with a stored driver, it may be necessary to recognize the current driver of the vehicle. For example, the recognition unit may recognize the driver via the vehicle key because each driver may have his own vehicle key. The vehicle key may also store further information such as the seat adjustment, the adjustment of the mirrors and / or the preferred radio station. Furthermore, the vehicle key has the advantage that you need this anyway for driving the vehicle. Thus, no extra unit for identifying or identifying the driver is needed.

Alternatively or additionally, the recognition unit can also be an interface, a camera which recognizes the driver's face or a fingerprint reader. Alternatively or additionally, the recognition unit can also recognize the mobile phone or other personal belongings of the driver in order to recognize or identify them.

According to an embodiment of the invention, the recognition unit further comprises an input unit. This input unit is configured to recognize the current driver via an input of the driver.

In addition to the automatic recognition of the driver on the basis of the vehicle key, the mobile phone, the fingerprint or the biometric data, the current driver can also identify himself via an input unit. For example, different drivers can be created in the vehicle and the current driver selects himself from this list. The input can be made via a touch screen, a rotary pushbutton or a push button. The feedback about the stored or the selected driver, for example, via a display.

According to one embodiment of the invention, the driving profile data have at least the maximum driven speed, the acceleration behavior, the cornering speed, the steering behavior, the braking behavior, the flashing behavior, the shifting behavior, the honking behavior, the use of the flashlight, the distance to the vehicle in front and / or a combination from here on. All of this data can be used to create a driving profile of the driver. The more data that can be collected, the more accurately the driver can be evaluated and analyzed and the more accurate the driving profiles can be created. Some drivers drive rather sporty, while other drivers drive rather restrained. Furthermore, some drivers use the horn and / or turn signal more often than other drivers. Thus, this data can provide information about the current driver and his behavior in road traffic. When comparing the current behavior to the stored behavior of the driver, ie the typical behavior of the driver, it can be recognized whether the driver behaves differently at the moment than normally. If the current driving behavior deviates significantly from the stored one can conclude that the driver is unable to drive. The driving inactivity of the driver may have various causes, e.g. the driver may be stressed, ill, fatigued and / or intoxicated.

It should be noted that the driving ability detection device may include a plurality of different sensors. For example, the driving ability detection device may include an acceleration sensor, a speed sensor, a yaw rate sensor, a rotation rate sensor, a potentiometer, a steering angle sensor, a switch, a camera, an ultrasonic sensor, a lidar sensor, a radar sensor, a rotational speed sensor, a heart rate monitor, a shift point sensor, a GPS sensor , a brake pressure sensor, a gyroscope, or a combination thereof. In particular, sensors already present in the vehicle can be used to acquire driving profile data.

According to one embodiment of the invention, the warning has an automatic emergency call. Thus, an emergency call can be automatically issued as soon as the predefined threshold value is exceeded in the comparison of the driving profiles. Alternatively or additionally, the driving ability recognition device can use the existing in the vehicle "emergency call" to stop the warning or the automatic emergency call.

According to a further embodiment of the invention, the warning has an automatic braking of the vehicle. In other words, the driving ability detection device may be the Stop the vehicle if it is determined by the driving ability recognition device that the driver is no longer driving.

The warning can be done for example by means of a warning device. The warning device may be, for example, a lamp or light in the vehicle, which signals to the driver that he should take a break. Furthermore, the warning device can also directly send a message via the display to the driver that he should not continue the journey at present, since he is not able to drive a vehicle. Alternatively or additionally, the warning device can also have an interface, such as a communication module, and inform an emergency medical service or call the police when the driver is detected by the driving ability detection device. In other words, an automatic emergency call can be issued by the warning device. In a further embodiment of the invention, the warning device can also reduce the speed of the vehicle or bring the vehicle to a halt if the driver himself is no longer able to drive the vehicle.

Another aspect of the invention relates to a vehicle having a previously described and subsequently described driving ability detection device.

The vehicle is, for example, a motor vehicle, such as a car, bus or truck, or else a rail vehicle, a ship, an aircraft, such as a helicopter or airplane, or, for example, a bicycle.

• - Erfassen von Fahrprofildaten durch eine Sensoreinheit;
• - Bestimmen des aktuellen Fahrers des Fahrzeugs;
• - Auswerten der Fahrprofildaten durch eine Recheneinheit;
• - Erstellen von Fahrprofilen;
• - Speichern der Fahrprofile in einer Speichereinheit;
• - Vergleichen des aktuellen Fahrprofils des aktuellen Fahrers mit dem gespeicherten Fahrprofil des aktuellen Fahrers; und
• - Warnen, wenn der Vergleich einen vordefinierten Schwellwert überschreitet.

Another aspect of the invention relates to a method for analyzing the driving ability of a driver. The method comprises the following steps:

• - Detecting driving profile data by a sensor unit;
• Determining the current driver of the vehicle;
• - Evaluating the driving profile data by a computing unit;
• - Creating driving profiles;
• - storing the driving profiles in a storage unit;
• Comparing the current driving profile of the current driver with the stored driving profile of the current driver; and
• - Warn if the comparison exceeds a predefined threshold.

It should be noted that the steps of the method may also be performed in a different order or simultaneously. Furthermore, between individual steps may also be a longer period of time.

Another aspect of the invention relates to a program element which, when executed on a computing unit of a driving ability recognition apparatus, instructs the driving ability recognition apparatus to perform the above-described and subsequently described methods.

Another aspect of the invention relates to a computer-readable medium having stored thereon a program element that, when executing on a computing unit of a driving ability recognition device, the driving ability recognition device, performs the method described above and below.

Other features, advantages and applications of the invention will become apparent from the following description of the embodiments and the figures.

• 1 zeigt eine Fahrtüchtigkeitserkennungsvorrichtung gemäß einer Ausführungsform der Erfindung.
• 2 zeigt ein Fahrzeug mit einer Fahrtüchtigkeitserkennungsvorrichtung gemäß einer Ausführungsform der Erfindung.
• 3 zeigt ein Flussdiagramm für ein Verfahren zur Analyse der Fahrtüchtigkeit eines Fahrers gemäß einer Ausführungsform der Erfindung.

The figures are schematic and not to scale. If the same reference numbers are given in the following description of the figures, these designate the same or similar elements.

• 1 shows a driving ability detection device according to an embodiment of the invention.
• 2 FIG. 10 shows a vehicle having a driving ability detection device according to an embodiment of the invention. FIG.
• 3 shows a flowchart for a method for analyzing the driving ability of a driver according to an embodiment of the invention.

1 shows a driving ability detection device 1 , The driving ability recognition device 1 has a sensor unit 30 , a storage unit 20 , a recognition unit 40 and a computing unit 10 on. The sensor unit 30 is set up to record driving profile data. For this purpose, the sensor unit 30 For example, an acceleration sensor, a speed sensor, a yaw rate sensor, a rotation rate sensor, a potentiometer, a steering angle sensor, a switch, a camera, an ultrasonic sensor, a Lidarsensor, a radar sensor, a speed sensor, a heart rate monitor, a switching point sensor, a GPS sensor, a brake pressure sensor , a gyroscope or a combination thereof. It should also be noted that in particular a plurality of sensors in the sensor unit 30 can be present. Furthermore, the sensor unit 30 on in-vehicle quantities such as speed, speed, torque, acceleration, actuation of a turn signal, operation of the horn, steering angle, brake pressure, gas pedal position, brake pedal position and / or shift speed access, which may be present on the vehicle's BUS. The recognition unit 40 is set to recognize the current driver of the vehicle or to determine this. The recognition unit 40 can close, for example, based on the vehicle key on the current driver. Alternatively or additionally, the recognition unit 40 recognize the driver, for example, via biometric data, such as the driver's fingerprint or face. Also, the detection unit 40 recognize the driver using his mobile phone. Alternatively or additionally, the recognition unit 40 recognize the driver via an input unit on which the driver identifies himself via an input, for example via a touch screen or a rotary-push-button.

The arithmetic unit 10 is set up by the sensor unit 30 evaluate or analyze captured driving profile data and create a driving profile for the current driver or to expand the existing driving profile. Subsequently, the arithmetic unit, the driving profile with respect to the current driver in the storage unit 20 to save. Thus, on the storage unit 20 Several driving profiles of different drivers are available. The arithmetic unit 10 can also evaluate the current driving profile data and create a current driving profile for the current driver. This current driver profile can then be determined by the arithmetic unit 10 be compared with the stored driving profile of the current driver. By comparison, the arithmetic unit 10 on the driving ability of the current driver. In particular, if the deviation exceeds or falls short of a predefined threshold value, it is possible to conclude that the current driver is unable to drive. In other words, if the current driving behavior of the driver deviates from his normal driving behavior, his ability to drive can be restricted. For example, fatigue, alcohol, medication, stress, or disease can affect their ability to drive. Furthermore, the arithmetic unit 10 the driving ability detection device 1 set up a warning 50 to be spent if a disability has been detected. This can be the type and intensity of the warning 50 depend on the magnitude of the deviation from the threshold. The threshold may be, for example, ± 5, 10 or 15%. The greater the deviation, the stronger the warning 50 fail. The warning 50 This may include a warning to the driver, an automatic emergency call and / or an automatic braking of the vehicle.

Furthermore, a driver-individual correlation can be included in the evaluation and creation of the driving profile, since each driver reacts to a certain driving situation somewhat differently. For example, some drivers feel very uncomfortable at dusk or dark, which can lead to a different driving profile and other drivers are not significantly affected by dusk or darkness. Also, some drivers feel uncomfortable when driving on the highway or the city. These driver-specific characteristics can be taken into account in the creation of the driving profile. In particular, the driver-individual correlation can be determined via previous measurements and their analysis over time.

Based on this comparison, the arithmetic unit 10 Determine if the driver is still fit to drive. For example, the current driver drives more aggressively than usual because he is stressed by his work. Thus, the drive capability detection device 1 Detect this based on the comparison of the current driving profile with the stored driving profile and a warning 50 to the driver to take a break.

The arithmetic unit 10 may output the result of this comparison to a warning device, which may be for example a lamp, an indication to the driver or an interface (eg to a server). The warning device may, based on the comparison, warn the driver and / or a third party. For example, the warning device 50 Adjust the color or intensity of a display or control of the vehicle, project an alert on the driver's display, inform an ambulance, and / or reduce the speed of the vehicle or stop the vehicle.

2 shows a vehicle 2 with a driving ability detection device 1 , The driving ability recognition device 1 For example, the speed of the vehicle 2 reduce if the predefined threshold is exceeded in the comparison of the driving profiles.

3 shows a flowchart for a method for analyzing the driving ability of a driver. In one step S1 Driving profile data are detected by a sensor unit. In step S2 the determination of the current driver of the vehicle is carried out by a recognition unit. In step S3 the evaluation of the driving profile data is performed by a computing unit. In step S4 Driving profiles are created by the at least one driver and then be in step S5 these driving profiles are stored on a storage unit. In step S6 the current driving profile of the current driver is compared with the stored driving profile of the current driver. Finally, in step S8 a warning is issued if the comparison exceeds a predefined threshold.

Claims (10)

A driving capability detection device (1) for a vehicle (2), comprising: an arithmetic unit (10); - A sensor unit (30) arranged for detecting driving profile data; a memory unit (20) arranged to store driving profiles; and a recognition unit (40) configured to recognize the current driver of the vehicle, wherein the arithmetic unit (10) is adapted to evaluate the driving profile data for at least one driver and to create at least one driving profile therefrom and to store this on the memory unit, wherein the arithmetic unit (10) is adapted to evaluate the current driving profile data and to use this to create a current driving profile for the current driver and to compare this with the current driver's stored driving profile, wherein the arithmetic unit (10) is adapted to output a warning (50) if a predefined threshold value is exceeded in the comparison. Device (1) according to Claim 1 wherein the recognition unit (40) is adapted to recognize the current driver via the reading of a vehicle key. Device (1) according to Claim 1 or 2 , wherein the driving profile data at least the maximum driven speed, the acceleration behavior, the cornering speed, the steering behavior, the braking behavior, the flashing behavior, the switching behavior, the Hup behavior, the use of flare, the distance to the vehicle in front and / or a combination thereof. Device (1) according to one of the preceding claims, wherein the warning (50) has an automatic emergency call. Device (1) according to one of the preceding claims, wherein the warning (50) comprises an automatic deceleration of the vehicle. Device (1) according to one of the preceding claims, wherein the recognition unit (40) further comprises an input unit which is adapted to recognize the current driver via an input of the driver. Vehicle (2) with a driving ability recognition device (1) according to one of Claims 1 to 6 , Procedure for analyzing the driving ability of a driver, comprising the following steps: - detecting (S1) driving profile data by a sensor unit; - determining (S2) the current driver of the vehicle; - evaluating (S3) the driving profile data by a computing unit; - creating (S4) driving profiles; - storing (S5) the driving profiles in a storage unit; - comparing (S6) the current driving profile of the current driver with the stored driving profile of the current driver; and - Warn (S7) if the comparison exceeds a predefined threshold. A program element which, when executed on a computing unit (10) of a driving ability recognition device (1), instructs the driving ability recognition device (1), the method according to Claim 8 perform. Computer-readable medium on which a program element according to Claim 9 is stored.

Images