Method, traffic monitoring system and computer program product

The method (100) as claimed in any one of the preceding claims, characterized in that

• the traffic scene (11) on the roadway (12) is scanned by means of the optical capture unit (16) from a height of 1.5 m to 10 m, preferably 2 m to 2.8 m, further preferably 2.3 m to 2.7 m.

The method (100) as claimed in any one of the preceding claims, characterized in that,

• depending on the traffic scene to be monitored (11) on the roadway (12), at least one measurement line (33) is stored in reference data (34) which is stored in the evaluation unit (23), wherein the at least one measurement line

The method (100) as claimed in any one of the preceding claims, characterized in that

• the method (100) is carried out at different times, in particular cyclically, and/or upon a trigger event, in particular when a vehicle (13) identified in the image data (24) crosses over the at least one measurement line (33).

The method (100) as claimed in any one of the preceding claims, characterized in that,

• for scanning (110) the traffic scene (11) on the roadway (12), multiple optical spaced apart optical capture units (16) are provided for detecting the traffic scene (11) from different angles.

The method (100) as claimed in any one of the preceding claims, characterized in that

• from the bird's eye view data (22) at one time or at multiple times a vehicle speed and/or vehicle acceleration of at least one vehicle (13) on the roadway (12), and/or a stop violation, in particular a stop violation in an intersection area or a traffic light area of the traffic scene (11), and/or a distance violation of a vehicle (13) to a preceding vehicle (13) is evaluated to form the evaluation data (35).

The method (100) as claimed in any one of the preceding claims, characterized in that

• the evaluation data (35) is transmitted (210) by means of a data interface

A traffic monitoring system (10) for carrying out the method (100) as claimed in any one of the preceding claims,

• having at least one optical capture unit (16) with at least one camera unit (25) for scanning (110) the traffic scene (11) on a roadway (12) as image data (24), wherein the camera unit (25) is aligned with the roadway (12) at an angle (α) of 0° to 70°, preferably 10° to 70°, further preferably 15° to 70°, and
• having a processing unit (19) for recognizing (120) an object (27) on the vehicle (13) and/or a driver (28) in the vehicle (13) and for recognizing (120) predefined check points (17) from environment data (18) in the image data (24), for converting the check points (130) into plane data (20) of the plane (21), the plane (21) corresponding to the roadway (12), and for converting the captured image data (24) and the plane data (20) using a transformation algorithm into bird's eye view data (22) of the bird's eye perspective, and
• having an evaluation unit (23) for evaluating (150) the traffic scene (11) on a roadway (12) to form the evaluation data (35).

(33) is or will be oriented orthogonally or substantially orthogonally to a roadway boundary and/or orthogonally or substantially orthogonally to a roadway direction of the roadway (12) and/or parallel or substantially parallel to a front and/or rear fender of a vehicle (13) identified in the lidar data (14) and/or image data (24), and the measurement line (33) being used in the evaluation of the evaluation data (35) of the traffic scene (11).

(36) or a transmitter (37) of the evaluation unit (23) to an external data storage unit (38) or external post-processing unit (39).