Traffic monitoring system, method, and computer program product

Abstract

The invention relates to a traffic monitoring system (10) for monitoring a traffic scene, comprising a traffic monitoring facility (12) for recording at least one road user (14) on a roadway (16), said traffic monitoring facility (12) having a detection unit (18) and a monitoring unit (22), wherein the monitoring unit (22) has at least one processing unit (24), a classification unit (26), a comparison unit (34), and an analysis unit (38); and at least one mobile output device (42), said traffic monitoring facility (12) and the at least one mobile output device (42) being connected together so as to transmit data in order to receive the comparison data set (36) of the analysis unit (38) by means of a receiver (44) of the mobile output device (42). The mobile output device (42) has a speaker (46) for phonetically outputting (180) the comparison data set (36), and the traffic monitoring system (10) is designed to carry out according to the invention.

Description

[0001] Traffic monitoring system, method and computer program product

[0002] The invention relates to a traffic monitoring system having the features of independent patent claim 1, a method having the features of independent patent claim 4 and a computer program product having the features of independent patent claim 12.

[0003] Transmitting traffic violation data via radio (human voice transmission) is too labor-intensive and requires in-depth knowledge of vehicle models (make-model). Outputting violation data via video on a mobile device, a so-called handheld device, requires too much attention from the police officer. Such a distraction can endanger both the flow of traffic and the police officer themselves.

[0004] EP 4 028 943 A1 describes a traffic monitoring system and method for detecting traffic offenses. A traffic offense is detected and transmitted. However, it is not possible to distinguish between different offenses.

[0005] DE 10 2016 000 532 B4 describes a method for a traffic monitoring system that outputs a voice message regarding a speeding violation to a vehicle-mounted device. The speed data is only determined internally and output to the driver.

[0006] GB 2 561 100 A discloses a video surveillance system capable of locating license plates of stationary or moving vehicles in the field of view of one or more cameras.

[0007] EP 3 460 776 A1 describes a method and a device for the evidential recording of traffic violations by a vehicle.

[0008] A challenge in prosecuting traffic violations in moving traffic is, on the one hand, the analysis time of the respective traffic monitoring system and the subsequent reaction time of the officer to flag down vehicles that have been speeding or committed another offense. This is usually labor-intensive, requiring at least one measuring officer and several additional police officers to flag down or stop the vehicle. The stop command is a logistically complex process that is difficult and time-consuming to manage manually, and thus costly. A wide variety of additional devices and computer-implemented software and hardware solutions are intended to create a regulated, semi-automated process.

[0009] It is therefore an object of the present invention to at least partially overcome at least one of the disadvantages described above. In particular, the object of the invention is to provide a traffic monitoring system that can collect data in a legally compliant manner while simultaneously reducing personnel costs.

[0010] The above object is achieved by a traffic monitoring system having the features of independent patent claim 1, by a method having the features of independent patent claim 4, and by a computer program product having the features of independent patent claim 12. Further features and details of the invention emerge from the subclaims, the description, and the drawings. Features and details described in connection with the traffic monitoring system according to the invention naturally also apply in connection with the method according to the invention and / or in connection with the computer program product according to the invention, and vice versa, so that reciprocal reference is or can always be made to the individual aspects of the invention with regard to the disclosure.

[0011] A first aspect of the invention is a traffic monitoring system for monitoring a traffic scene, comprising a traffic monitoring system for recording at least one road user on a roadway or path (hereinafter referred to as "roadway"), wherein the traffic monitoring system has a detection unit for detecting the at least one road user on the roadway as an actual data set, and a control unit for regulating and / or controlling the traffic monitoring system.

[0012] In this case, the control unit contains at least one processing unit for processing the actual data set, a classification unit for classifying the at least one road user into a road user class using a class value of the actual data set, wherein a plurality of road user classes are stored in the classification unit for classification and wherein each road user class is assigned a target data set, a comparison unit for comparing the actual data set of the at least one road user with the target data set of the respective road user class and for storing the comparison as a comparison data set, an evaluation unit for evaluating the comparison data set and for assigning the comparison data set of the at least one road user to a stored traffic scenario, in particular a traffic offense, in order to transmit the comparison data set by means of a transmitter when assigned to a traffic scenario,provided.,

[0013] In addition, the traffic monitoring system is equipped with at least one mobile output device for outputting the comparison data set of at least one road user.

[0014] The traffic monitoring system and the at least one mobile output device are connected to each other for data communication purposes in order to receive the comparison data set from the evaluation unit via a receiver of the mobile output device. For this purpose, the mobile output device has a loudspeaker / headphone (hereinafter referred to as "loudspeaker") for phonetic output of the comparison data set.

[0015] The roadway is understood here as the area of ​​the traffic monitoring system to be monitored, which is accessible or accessible to at least one road user.

[0016] Road users within the meaning of the invention are understood to mean all persons or means of transport participating in traffic, for example motor vehicles, and in particular passenger cars, trucks and motorcycles, but also pedestrians, wheelchair users, cyclists and e-scooter riders.

[0017] The classification unit classifies the road user into the stored road user classes. In this case, the term road user class primarily refers to the type of road user, i.e., passenger car, truck, multi-axle vehicle, cyclist, pedestrian, or similar. These classes are stored in the classification unit with their respective target data. If the road user is assigned or classified into a road user class, the classification unit can immediately pull the target data set assigned to the respective road user class for the road user. This is particularly advantageous for further actions to evaluate and penalize the respective traffic scenario. For example, it can be stored that a passenger car may only travel a certain speed in the surveillance area of ​​the traffic monitoring system.In addition to or as an alternative to the classification unit, a typing unit can be provided for typing the at least one road user into a road user type using at least one type value of the actual data set. Here, too, a plurality of road user types and / or typings can be stored in the typing unit, so that each road user type can be assigned a target data set.

[0018] The typing unit can be used to more precisely identify the respective road user. For example, in the case of a motor vehicle, the vehicle manufacturer and / or vehicle type and / or color can be determined in addition to the road user class. These can then be assigned to the actual data set as a type value. This increases the accuracy of prosecuting the respective traffic offense.

[0019] A traffic offense, such as speeding, can be detected if the actual data set of the road user deviates from the target data set selected by the classification unit (or typing unit).

[0020] It is conceivable that the evaluation unit and / or the mobile output device have data-specific interfaces that can support the transmitter of the evaluation unit and the receiver of the mobile output device.

[0021] The actual data set of the road user comprises a multitude of characteristics of the respective road user. In the case of a motor vehicle (or bicycle or e-scooter), the recorded actual data set includes the model and / or color of the road user, in particular the color of at least one characteristic of the road user, and / or license plate and / or size and / or direction of travel and / or change of direction and / or lane and / or speed and / or speed difference and / or distance to other road users and / or red light behavior. In the case of a pedestrian, the actual data set can include the color of an item of clothing and / or the traffic phase, for example, red light phase.

[0022] The target data of the target dataset includes the specified data for the respective traffic scenario to be monitored, such as speed, distance, direction of travel, traffic light phase, or similar for the respective road user. This is advantageous because different road users, for example a passenger car or a truck, can be assigned different specifications for a speed or distance using the target data of the target dataset. The comparison dataset includes the deviations between the actual dataset of the respective road user and the target dataset of the recorded road user. The comparison dataset therefore includes, for example, information on the level of speeding, the insufficient distance to a preceding road user, or the movement of the road user depending on the traffic phase (red light phase or traffic jam, etc.).

[0023] The traffic scenario data used for the penalty, which is transmitted to the mobile output device, includes the comparison data set from the comparison unit and at least one value from the actual data set, which serves to identify the road user. The traffic scenario data can therefore be an intersection of the comparison data set, the traffic scenario data, and / or at least one type value.

[0024] At the same time, the comparison data and / or the traffic scenario data can be made available by the evaluation unit in such a way that they can be used in court to punish traffic offenses.

[0025] The processing unit converts the actual data of the actual data set or the comparison data of the comparison data set or the traffic scenario data in such a way that they can be output phonetically after transmission to the mobile output device.

[0026] By outputting this data phonetically, the person taking the measurements, such as a police officer, can look in the direction of the road user and identify them more quickly, thus changing a traffic offense.

[0027] It would also be conceivable that in addition to the phonetic output, an output of the image data is carried out.

[0028] It is also conceivable that the traffic monitoring system could be a mobile one, allowing the system to be deployed on the move. This increases the flexibility of the traffic monitoring system.

[0029] Within the scope of the invention, it may be advantageous for the mobile output device to have a display or virtual reality glasses or monitor glasses and / or an LED display for visually outputting the comparison data set. The additional output of the image material pertaining to the traffic offense or a written display of the excessive speed of the respective detected road user, for example via a display or virtual reality glasses or monitor glasses or an LED display for visually outputting the comparison data set or the traffic scenario data, can serve as additional support for the person taking the measurement and thus assist in identifying the road user who has violated a traffic regulation.

[0030] Within the scope of the invention, it is conceivable that the detection unit has at least one camera unit and at least one speed sensor, for example in the form of a lidar unit and / or a radar unit and / or an image sensor and / or an ultrasonic sensor.

[0031] The interaction of a camera unit and at least one speed sensor allows for a precise evaluation of the traffic scenario. The camera unit can be used to classify the road user into the respective road user class using the classification unit. Additionally or alternatively, the image material from the camera unit or the lidar can be used to identify a vehicle manufacturer, vehicle type, or color. This data can be used, for example, in the classification unit to classify the road user. The at least one speed sensor, for example a lidar unit or a radar unit, can then assign the respective exceedance of the specified speed to the respective road user.

[0032] This is particularly advantageous for the court-proof evaluation of the respective traffic offense. At the same time, the camera unit provides sufficient image material to view and evaluate, for example, a red light violation or a follow-through violation.

[0033] A second aspect of the invention is a method according to the invention for monitoring a traffic scene by means of a traffic monitoring system according to the first aspect of the invention, comprising the following steps:

[0034] Recording the actual data set of at least one road user on the roadway by means of the recording unit,

[0035] Processing the actual data set of the at least one road user on the roadway in the processing unit of the control unit, Classifying the at least one road user into the road user class using the class value of the actual data set of the at least one road user by means of the classification unit,

[0036] Selection of the target data set of the classified road user class,

[0037] Comparing the actual data set of at least one road user with a target data set of the respective road user class by means of the comparison unit, whereby the comparison is stored as a comparison data set,

[0038] Evaluating the comparison data set and assigning the comparison data set to a stored traffic scenario, in particular a traffic offense, to traffic scenario data by means of the evaluation unit, if the comparison data set can be assigned to a stored traffic scenario, then

[0039] Transmitting the comparison data set to the at least one mobile output device, Phonetic output of the comparison data set by means of the loudspeaker of the at least one mobile output device.

[0040] As already described above, the detection unit can consist of at least one camera unit and at least one speed sensor. Several speed sensors are available, which can also be combined with each other as desired, allowing the traffic monitoring system to be flexibly designed depending on the possible traffic scenarios to be observed. Speed ​​sensors can be at least one lidar unit and / or at least one radar unit and / or data from an image sensor and / or an ultrasonic sensor.

[0041] The data captured by the capture unit can be evaluated as image data and also forwarded or transmitted to the mobile output device.

[0042] The phonetic output of the comparison data set can be improved and optimized by additionally including traffic scenario data. This can be used for better identification and support in the prosecution of traffic offenses. The output includes data such as the road user class, vehicle manufacturer, and / or color, as well as comparison data, such as speeding. Within the scope of the invention, it can be provided that object recognition is performed in the actual data set during processing, with the object recognition recognizing at least one of the following parameters:

[0043] Class value

[0044] Make

[0045] - Model

[0046] Colour of the road user, in particular colour of at least one feature of the road user

[0047] License plate

[0048] Size

[0049] Direction of travel

[0050] Change of direction

[0051] lane

[0052] speed

[0053] Distance to other road users

[0054] Driver distractions, such as operating the navigation system or mobile phone

[0055] Seat belt detection

[0056] Number of passengers in vehicles.

[0057] Object recognition can be performed, for example, by a software solution within the recorded actual data set. Thus, object recognition can be performed using the image data from the camera unit of the detection unit. This not only performs identification but can also detect traffic offenses or violations. It is conceivable that object recognition could be partially performed by the typing unit. The typing unit can classify the road user so that identification can be performed. Combining the typing unit with object recognition increases the security of a legally sound identification process with the traffic monitoring system.

[0058] The object recognition can then generate comparison data sets or traffic scenario data from the actual data sets, which can be output phonetically by the mobile output device.

[0059] For example, the mobile output device can output the following phonetically after object recognition or typing: Passenger car - vehicle manufacturer - vehicle model - colour - greater than 30 km / h or

[0060] Color - Vehicle model - Speed

[0061] The “greater than 30 km / h” can refer to the extent to which the recommended speed is exceeded.

[0062] It would also be conceivable to specify the lane, for example:

[0063] Passenger car - vehicle manufacturer - vehicle model - color - center lane - greater than 30 km / h.

[0064] Furthermore, during the phonetic output of the comparison data set, the traffic scenario data and at least one value of the actual data set, in particular a value for identifying the at least one road user, are output.

[0065] The value of the actual data set could be, for example, the road user class and / or the vehicle manufacturer and / or the vehicle type and / or the vehicle color. The person taking the measurements then receives sufficient data via the mobile output device to identify the road user violating a regulation, even in a large number of road users, and flag them down.

[0066] If a typing unit is provided, it is conceivable to access its data in order to carry out identification.

[0067] It is also conceivable that the traffic scenario data could be output visually via a display or virtual reality headset using at least one mobile output device. The phonetic and visual outputs can be superimposed in real time. This increases the reliability of identifying the violating road user.

[0068] Within the scope of the invention, it is optionally possible for the evaluation unit to calculate the time required by the at least one road user to reach the at least one mobile output device as a function of the speed of the at least one road user and a distance between the detection unit and the at least one mobile output device, wherein this time is transmitted with the comparison data to the at least one mobile output device and is output by the at least one mobile output device, in particular as a countdown.

[0069] This is particularly advantageous when the distance between the detection unit and the mobile output device, i.e., the person measuring the speed limit and the offending road user, is close. This can support the person measuring the speed limit, as they know the time until the offending road user enters their area of ​​action, allowing them to prepare for being flagged down and the associated punishment for the traffic offense.

[0070] Furthermore, it can be provided within the scope of the invention that the traffic scenario data and / or the comparison data set are transmitted to a database and / or another remote mobile output device.

[0071] Transferring the data to a database is particularly advantageous for later providing evidence of the prosecution of the traffic offense in court. For example, personal data recorded when the driver flagged down the violating road user can then be assigned to the transferred data set for automatic fine processing.

[0072] Forwarding the data to a more distant mobile output device is advantageous if the road user defies the measuring operator's command to stop; in this way, a second station can be provided for a stop command. This is also conceivable if the traffic situation suggests that several road users may be violating traffic regulations at the same time. It is also conceivable that red light violations at traffic lights could be punished mobile, with the direction of travel of the offending vehicle also being sent to the mobile output device. This would inform the relevant officers who are waiting to wave the driver over to the left of the traffic lights (or to the right of the traffic lights) accordingly, who would be responsible for waving the driver over to the exit.If the violating vehicle is traveling straight ahead, only the officer's output device located on the expected route of the vehicle's continued travel in the "straight ahead" direction would be radioed. The same applies when turning right or left. With regard to the present invention, it is conceivable that the at least one mobile output device can be controlled via voice control and / or gesture control.

[0073] This is particularly advantageous when the distance between the registration unit and the mobile output device is close, allowing the person taking the measurement—i.e., the officer holding the mobile output device—to control the mobile output device without first having to look at a display. For example, they can have the phonetic output repeated or request specific data, such as color and / or license plate number.

[0074] Furthermore, it is conceivable that the traffic scenario data and / or the comparison data set of several road users are output sequentially or alternately by means of the at least one mobile output device.

[0075] A mobile output device can be used to issue a penalty to multiple measuring devices, allowing multiple pieces of information to be output simultaneously. All necessary data for a road user is announced in a coherent manner. Intermediate tones can be provided to distinguish between the data of the road users. Different "tones of voice" for each road user would also be conceivable.

[0076] Within the scope of the invention, it may be advantageous for the evaluation unit to prioritize the transmission and output of the traffic scenario data and / or the comparison data set for several road users depending on the comparison data set for the respective traffic scenario.

[0077] The type of prioritization can be stored in the evaluation unit. The prioritization can thus include the severity of the traffic offense, which leads to a preferential selection and prioritization of the road user by the evaluation unit, which can then be announced or displayed by the mobile output device. For example, a higher speed violation or a smaller distance to a previous road user can have a higher priority than only minor speed violations. Or a high speed has a higher priority than a red light violation if no other road users are involved or present in the traffic scene. A third aspect of the invention is a computer program product according to the invention, comprising instructions that cause the traffic monitoring system according to the first aspect of the invention to execute the method according to the second aspect of the invention.

[0078] Further advantages, features, and details of the invention will become apparent from the following description, in which several embodiments of the invention are described in detail with reference to the drawings. The features mentioned in the claims and in the description may be essential to the invention individually or in any combination. The invention is illustrated in the following figures:

[0079] Fig. 1 is a schematic representation of a traffic monitoring system according to the invention,

[0080] Fig. 2 is a schematic representation of a method according to the invention,

[0081] Fig. 3 is a schematic representation of a computer program product according to the invention.

[0082] Fig. 1 shows a traffic monitoring system 10 for monitoring a traffic scene, comprising a traffic monitoring system 12 for recording at least one road user 14 on a roadway 16 and at least one mobile output device 42, in Fig. 1, precisely one, for outputting the comparison data set 36 of the at least one road user 14. The traffic monitoring system 12 provides a detection unit 18 for detecting 110 the at least one road user 14 on the roadway 16 as an actual data set 20, and a control unit 22 for regulating and / or controlling 220 the traffic monitoring system 12.

[0083] For the determination and precise processing of the actual data set 20 of the road user 14 in the traffic scene, i.e. whether the road user 14 is currently committing an infringement, the control unit 22 has at least one processing unit 24 for processing 120 the actual data set 20, a classification unit 26 for classifying the at least one road user 14 into a road user class 28 using a class value 30 of the actual data set 20, a comparison unit 34 for comparing 150 the actual data set 20 of the at least one road user 14 with the target data set 32 ​​of the respective road user class 28 and for storing the comparison as a comparison data set 36, and an evaluation unit 38 for evaluating the comparison data set 36 and for assigning the comparison data set 36 of the at least one road user 14 to a stored traffic scenario.The processing of the actual data set 20 into the comparison data set 36 is necessary primarily for the court-proof evaluation and punishment of the violation.

[0084] In this case, a traffic scenario is understood to be a traffic offense. The control unit 22 has a transmitter 40 to transmit the comparison data set 36 to the mobile output device 42 when assigned to a traffic scenario.

[0085] A plurality of road user classes 28 are stored in the classification unit 26 for classification 130. In a database, each road user class 28 is assigned a target data set 32 ​​for the respective traffic scene to be monitored.

[0086] In order to be able to directly punish a traffic offense, it is necessary for the person taking the measurement to quickly obtain information about the traffic offense and the road user. For this purpose, the traffic monitoring system 12 and the at least one mobile output device 42 are connected to one another in a data-communicating manner in order to receive the comparison data set 36 from the evaluation unit 38 by means of a receiver 44 of the mobile output device 42, wherein the mobile output device 42 has a loudspeaker 46 for the phonetic output 180 of the comparison data set 36.

[0087] Simultaneously with the phonetic output 180, the mobile output device 42 includes a display 48 for visually outputting the comparison data set 36. Instead of the display 48, virtual reality glasses or monitor glasses and / or an LED display can also be provided for visual output. These are then connected to the mobile output device 42 and can output the image data or the comparison data set in real time.

[0088] To capture the actual data or at least a portion of the actual data of the actual data set as image data, the capture unit 18 has at least one camera unit 50 and at least one speed sensor 52. The at least one speed sensor 52 can be a lidar unit and / or a radar unit and / or an image sensor and / or an ultrasonic sensor.

[0089] Fig. 2 shows a method 100 for monitoring a traffic scene using a traffic monitoring system 10 according to Fig. 1. The method 100 comprises the following steps: detecting 110 the actual data set 20 of at least one road user 14 on the roadway 16 using the detection unit 18,

[0090] Processing 120 of the actual data record 20 of at least one road user 14 on the roadway 16 in the processing unit 24 of the control unit 22,

[0091] Classifying 130 the at least one road user 14 by means of the class value 30 of the actual data set 20 of the at least one road user 14 into the road user class 28 by means of the classification unit 26,

[0092] Selection 140 of the target data set 32 ​​of the classified road user class 28, Comparison 150 of the actual data set 20 of the at least one road user 14 with a target data set 32 ​​of the respective road user class 28 by means of the comparison unit 34, wherein the comparison is stored as a comparison data set 36, Evaluation 160 of the comparison data set 36 and assignment of the comparison data set 36 to a stored traffic scenario, in particular a traffic offense, to traffic scenario data 58 by means of the evaluation unit, if the comparison data set 36 can be assigned to a stored traffic scenario, then

[0093] Transferring 170 the comparison data set 36 to the at least one mobile output device 42,

[0094] Phonetic output 180 of the comparison data set 36 by means of the loudspeaker 46 of the at least one mobile output device 42.

[0095] In the processing step 120, an object recognition is carried out in the actual data set 20 190. In the object recognition, at least one of the following parameters is recognized:

[0096] Class value and / or

[0097] Make and / or

[0098] Model and / or

[0099] Colour of the road user, in particular colour of at least one feature of the road user, and / or

[0100] License plate and / or

[0101] Size and / or

[0102] Direction of travel and / or

[0103] Change of direction and / or

[0104] Lane and / or

[0105] Speed ​​and / or

[0106] Distance to other road users and / or driver distractions and / or

[0107] Seat belt detection and / or

[0108] Number of passengers in vehicles.

[0109] Part of the object recognition is performed by the typing unit 60 (190, 250). Typing unit 60 can primarily determine values ​​for identifying the road user. For further analysis, typing unit 250 provides the make (vehicle manufacturer), model (vehicle model), and color.

[0110] The control unit 22 transmits the comparison data set 36, the traffic scenario data 58 and at least one value of the actual data set 20, in particular a value for identifying the at least one road user 14. These are then output phonetically via the loudspeaker 46 of the mobile output device 42 180.

[0111] At the same time, the mobile output device 42, as shown in Fig. 1, has a display 48, so that the traffic scenario data 58 are also visually output 240 as image data of the camera unit 50.

[0112] In order to increase the attention of the person taking the measurement or the officer who indicates a stop command to the road user 14 by hand signals or the like, the evaluation unit 38 calculates 200 the time t required for the at least one road user 14 to reach the at least one mobile output device 42, depending on the speed of the at least one road user 14 and a distance between the detection unit 18 and the at least one mobile output device 42. This time t is transmitted 170 with the comparison data to the at least one mobile output device 42 and output 210 by the at least one mobile output device 42, in particular as a countdown.

[0113] At the same time, the traffic scenario data 58 and the comparison data set 36 are transmitted to a database 170. Here, transmission to another mobile output device 42 at a distance is also conceivable.

[0114] For a repeat output or the repetition of certain identification values, e.g., color and vehicle manufacturer, the at least one mobile output device 42 can be controlled 220 by voice control and / or gesture control. In a traffic situation that is more complex than the traffic situation shown in Fig. 2, multiple road users 14 can be detected by the detection unit 18. The mobile output device 42 is capable of outputting the different traffic scenario data 58 and / or the comparison data set 36 of the road users 14 sequentially or alternately. The measuring operator can set the output selection on the mobile output device 42, for example, using voice control.

[0115] The evaluation unit 38 can also prioritize the respective offense 230 for multiple road users 14 based on the comparison data set 36 for the respective traffic scenario of the respective road user 14. This prioritization is then also carried out 230 during the transmission 170 and output 180 of the traffic scenario data 58 and / or the comparison data set 36 to or by the mobile output device 42. The results are then output sequentially or alternately. Fig. 3 shows a computer program product 54. This includes the commands 56 that cause the traffic monitoring system 10 according to Fig. 1 to execute the method 100 according to Fig. 2.

[0116] List of reference symbols

[0117] Traffic monitoring system

[0118] Traffic monitoring system

[0119] road users

[0120] roadway

[0121] Registration unit

[0122] Actual data set

[0123] control unit

[0124] processing unit

[0125] Classification unit

[0126] Road user class

[0127] Class value

[0128] Target data set

[0129] Comparison unit

[0130] Comparison data set

[0131] Evaluation unit

[0132] Sender mobile output device

[0133] Recipient

[0134] Speaker

[0135] Display

[0136] Camera unit

[0137] Speed ​​sensor

[0138] Computer program product commands

[0139] Traffic scenario data

[0140] Typing unit

[0141] Proceedings

[0142] Capture

[0143] Process

[0144] Classify

[0145] Selection

[0146] Compare Evaluate

[0147] Transmitted

[0148] Phonetic edition

[0149] Implementation of object recognition

[0150] Calculate

[0151] Countdown Edition

[0152] Steer

[0153] Performing a prioritization visually output

[0154] Typing

[0155] Time

Claims

Patent claims 1. Traffic monitoring system (10) for monitoring a traffic scene, with a traffic monitoring system (12) for recording at least one road user (14) on a roadway (16), wherein the traffic monitoring system (12) a. has a detection unit (18) for detecting (110) the at least one road user (14) on the roadway (16) as an actual data set (20), and b. a control unit (22) for regulating and / or controlling the traffic monitoring system (12), wherein the control unit (22) has at least i. a processing unit (24) for processing the actual data set (20), ii. a classification unit (26) for classifying the at least one road user (14) into a road user class (28) by means of a class value (30) of the actual data set (20), wherein a plurality of road user classes (28) are stored in the classification unit (26) for classification and wherein each road user class (28) is assigned a target data set (32),iii. a comparison unit (34) for comparing the actual data set (20) of the at least one road user (14) with the target data set (32) of the respective road user class (28) and for storing the comparison as a comparison data set (36); iv. an evaluation unit (38) for evaluating the comparison data set (36) and for assigning the comparison data set (36) of the at least one road user (14) to a stored traffic scenario, in particular a traffic offense, is provided in order to transmit the comparison data set (36) by means of a transmitter (40) when assigned to a traffic scenario; with at least one mobile output device (42) for outputting the comparison data set (36) of the at least one road user (14), wherein the traffic monitoring system (12) and the at least one mobile output device (42) are connected to one another for data communication;to receive the comparison data set (36) of the evaluation unit (38) by means of a receiver (44) of the mobile output device (42), wherein the mobile output device (42) has a loudspeaker (46) for phonetic output (180) of the comparison data set (36), wherein the traffic monitoring system (10) is designed to carry out a method according to claims 4 to 11., 2. Traffic monitoring system (10) according to claim 1, characterized in that the mobile output device (42) has a display (48) or virtual reality glasses or monitor glasses and / or an LED display for the visual output of the comparison data set (36).

3. Traffic monitoring system (10) according to claim 1 or 2, characterized in that the detection unit (18) has at least one camera unit (50) and at least one speed sensor (52) in the form of a lidar unit and / or a radar unit and / or an image sensor and / or an ultrasonic sensor.

4. A method (100) for monitoring a traffic scene by means of a traffic monitoring system (10) according to one of the preceding claims, comprising the following steps: detecting (110) the actual data record (20) of the at least one road user (14) on the roadway (16) by means of the detection unit (18), Processing (120) the actual data record (20) of the at least one road user (14) on the roadway (16) in the processing unit (24) of the control unit (22), Classifying (130) the at least one road user (14) by means of the class value (30) of the actual data set (20) of the at least one road user (14) into the road user class (28) by means of the classification unit (26), Selection (140) of the target data set (32) of the classified road user class (28), Comparing (150) the actual data set (20) of the at least one road user (14) with a target data set (32) of the respective road user class (28) by means of the comparison unit (34), wherein the comparison is stored as a comparison data set (36), Evaluating (160) the comparison data set (36) and assigning the comparison data set (36) to a stored traffic scenario, in particular a traffic offense, to traffic scenario data (58) by means of the evaluation unit, if the comparison data set (36) can be assigned to a stored traffic scenario, then transmitting (170) the comparison data set (36) to the at least one mobile output device (42), Phonetic output (180) of the comparison data set (36) by means of the loudspeaker (46) of the at least one mobile output device (42), wherein the traffic scenario data (58) and at least one value of the actual data set (20), in particular a value for identifying the at least one road user (14), are output (210) during the phonetic output (180) of the comparison data set (36).

5. Method (100) according to claim 4, characterized in that during the processing (120) an object recognition is carried out (190) in the actual data set (20), wherein the object recognition recognizes at least one of the following parameters: Class value Make - Model Colour of the road user, in particular colour of at least one feature of the road user License plate Size Direction of travel Change of direction lane speed Distance to other road users Driver distractions Seat belt detection Number of passengers in vehicles.

6. Method (100) according to one of claims 4 to 5, characterized in that the traffic scenario data (58) are output (210) visually via a display (48) or virtual reality glasses by means of the at least one mobile output device (42).

7. Method (100) according to one of claims 4 to 6, characterized in that the evaluation unit (38) calculates (200) the time (t) that the at least one road user (14) needs to reach the at least one mobile output device (42) as a function of the speed of the at least one road user (14) and a distance between the detection unit (18) and the at least one mobile output device (42), wherein this time (t) is transmitted (170) with the comparison data to the at least one mobile output device (42) and is output (210) by the at least one mobile output device (42), in particular as a countdown.

8. Method (100) according to one of claims 4 to 7, characterized in that the traffic scenario data (58) and / or the comparison data set (36) is transmitted (170) to a database and / or another spaced mobile output device (42).

9. Method (100) according to one of claims 4 to 8, characterized in that the at least one mobile output device (42) can be controlled (220) by means of voice control and / or gesture control.

10. The method (100) according to any one of claims 4 to 9, characterized in that the traffic scenario data (58) and / or the comparison data set (36) of a plurality of road users (14) are output sequentially or alternately by means of the at least one mobile output device (42).

11. Method (100) according to one of claims 4 to 10, characterized in that the evaluation unit (38) carries out (230) a prioritization of the transmission (170) and output (180) of the traffic scenario data (58) and / or the comparison data set (36) for a plurality of road users (14) depending on the comparison data set (36) for the respective traffic scenario.

12. A computer program product (54) comprising instructions (56) that cause the traffic monitoring system (10) according to claims 1 to 3 to execute the method (100) according to claims 4 to 11.

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