Method for operating a driver assistance system, computer program product, driver assistance system, and vehicle

Patent metadata

Field	Value
Publication number	US-12548449-B2
Application number	US-202218553200-A
Country	US
Kind code	B2
Filing date	Mar 30, 2022
Priority date	Mar 30, 2021
Publication date	Feb 10, 2026
Grant date	Feb 10, 2026

Abstract

The invention relates to a method for operating a driver assistance system ( 110 ). The method has the steps of: a) receiving (S 1 ) a drive state sensor signal (SIG 0 ( t )), which indicates the drive state, at a number of different points in time (t 0 -t 5 ), b) receiving (S 2 ) a number of sensor signals (SIG 1 (t)), which indicate the surroundings ( 200 ), at a number of different points in time (t 0 -t 5 ), c) detecting (S 3 ) a number of objects ( 210, 211 ) in the surroundings ( 200 ) on the basis of a first number of sensor signals (SIG 1 (t)), which have been detected at a first point in time, d) ascertaining (S 4 ) a position (POS) and a movement vector (VEC) for a detected object ( 210, 211 ) on the basis of the first number of sensor signals (SIG 1 ( t )) and a second number of sensor signals (SIG 1 ( t )), which have been received at a second point in time following the first point in time, using a plurality of different ascertaining methods (V 1 , V 2 ), wherein different ascertaining methods (V 1 , V 2 ) of the plurality have a different degree of computing complexity, and e) outputting (S 5 ) a warning signal if a potential collision with the detected object ( 210, 211 ) is ascertained on the basis of the drive state sensor signal (SIG 0 (t)) received at a specified point in time and the position (POS) and the movement vector (VEC) ascertained for the detected object ( 210, 211 ).

First claim

The invention claimed is:

1 . A method for operating a driver assistance system for a vehicle, the method comprising:
a) receiving a drive state sensor signal, which indicates the drive state of the vehicle, at a number of different points in time, b) receiving a number of sensor signals, which indicate the environment of the vehicle, at a number of different points in time; c) detecting a number of objects in the environment of the vehicle on the basis of a first number of sensor signals, which have been received at a first point in time; d) ascertaining a position and a movement vector for a detected object on the basis of the first number of sensor signals and a second number of sensor signals, which have been received at a second point in time following the first point in time, using a plurality of different ascertainment methods, wherein different ascertainment methods of the plurality have a different degree of computing complexity; and e) outputting a warning signal if a potential collision of the vehicle with the detected object is ascertained on the basis of the drive state sensor signal received at a specified point in time and the position and the movement vector ascertained for the detected object, wherein the number of different ascertainment methods comprise at least one first ascertainment method, in which for each detected object of the number a Kalman filter is assigned and initialized, which is used to ascertain the position and the movement vector of the respective object, and at least one second ascertainment method, in which a feature recognition is carried out on the basis of the number of sensor signals received at each point in time and a digital environment map is determined using recognized features, and wherein the output of the warning signal, if a potential collision is ascertained on the basis of the position and the movement vector ascertained for the respective detected object using the first ascertainment method, takes place only when the ascertained movement vector of the object is non-zero.

2 . The method as claimed in claim 1 ,
wherein different sensor signals of the number are assigned different scanning regions in the environment, wherein each sensor signal from the number of sensor signals received at a given time, which is assigned to a specific scanning region in the environment, is supplied to the Kalman filter, the assigned object of which has a position that is located within the scanning region assigned to the sensor signal.

3 . The method as claimed in claim 1 ,
characterized by determining a driving tube for the vehicle on the basis of the received drive status sensor signal.

4 . The method as claimed in claim 3 ,
wherein a warning signal is output only if a distance from the respective object to the vehicle and/or to the ascertained driving tube is less than or equal to a lower threshold value.

5 . The method as claimed in claim 3 ,
wherein a warning signal is output only if the ascertained movement vector of the respective object points in the direction of the vehicle and/or the direction of the ascertained driving tube.

6 . The method as claimed in claim 3 ,
wherein step e) comprises: ascertaining a future trajectory of the detected object on the basis of the ascertained position and the movement vector, wherein a warning signal is only output if the ascertained future trajectory at at least one position falls below a predetermined minimum distance and/or has a point of intersection with the ascertained driving tube.

7 . The method as claimed in claim 1 ,
wherein the received sensor signals exclusively comprise ultrasonic sensor signals.

8 . The method as claimed in claim 1 ,
wherein the method is carried out exclusively if the vehicle has a speed of less than or equal to 15 km/h.

9 . A computer program product comprising instructions that, when the program is executed by a computer, cause said computer to perform the method as claimed in claim 1 .

10 . A driver assistance system for a vehicle comprising:
a reception unit for receiving a drive state sensor signal, which indicates a drive state of the vehicle, at a number of different points in time, and for receiving a number of sensor signals, which indicate the environment of the vehicle, at a number of different points in time; a detection unit for detecting a number of objects in the environment of the vehicle on the basis of a first number of sensor signals, which have been received at a first point in time; an ascertainment unit for ascertaining a position and a movement vector for a detected object on the basis of the first number of sensor signals and a second number of sensor signals, which have been received at a second point in time following the first point in time, using a plurality of different ascertainment methods, wherein different ascertainment methods of the plurality have a different degree of computing complexity, and comprise at least one first ascertainment method, in which for each detected object of the number a Kalman filter is assigned and initialized, which is used to ascertain the position and the movement vector of the respective object, and at least one second ascertainment method, in which a feature recognition is carried out on the basis of the number of sensor signals received at each point in time and a digital environment map is determined using recognized features; and an output unit for outputting a warning signal if a potential collision of the vehicle with the detected object is ascertained on the basis of the drive state sensor signal received at a specified point in time and the position and the motion vector ascertained for the detected object, wherein the output of the warning signal, if a potential collision is ascertained on the basis of the position and the movement vector ascertained for the respective detected object using the first ascertainment method, takes place only when the ascertained movement vector of the object is non-zero.

11 . A vehicle comprising a number of environmental sensor units for capturing an environment of the vehicle and for outputting a respective sensor signal, and having a driver assistance system as claimed in claim 10 .

12 . The vehicle as claimed in claim 11 ,
wherein the environmental sensor units exclusively comprise ultrasonic sensors.

13 . The vehicle as claimed in claim 11 ,
wherein the vehicle has a mass of more than 2.5 tons and/or a length of more than 5 meters.

Assignees

• Valeo Schalter & Sensoren Gmbh

Inventors

• Mosnier-Thoumas Ludovic
• Heimberger Markus
• Scholz Niko Moritz
• Bariant Jean-Francois

Classifications

• G01S2015/937

  sensor installation details · CPC title

• G01S15/931

  of land vehicles · CPC title

• G01S15/588

  measuring the velocity vector · CPC title

• B60Q9/008

  for anti-collision purposes · CPC title

• G01S15/86

  Combinations of sonar systems with lidar systems; Combinations of sonar systems with systems not using wave reflection · CPC title