Method for monitoring and signaling a traffic situation in the surroundings of a vehicle

• US 9,478,136 B2
• Filed: 11/20/2012
• Issued: 10/25/2016
• Est. Priority Date: 12/06/2011
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Lehner, Philipp, Schumann, Michael, Niemz, Volker, Kanter, Pascal
• Primary Examiner(s): BUTLER, RODNEY ALLEN
• Application Number:
  US14/363,428
• Publication Number:
  US 20150025787A1
• Time in Patent Office: 1,435 Days
• US Class Current: 1/1
• CPC Class Codes: B60Q 1/525 automatically indicating risk of collision between vehicles in traffic or with pedestrians, e.g. after risk assessment using the vehicle sensor data
• CPC Class Codes: B60Q 5/006 indicating risk of collision between vehicles or with pedestrians
• CPC Class Codes: B60Q 9/008 for anti-collision purposes
• CPC Class Codes: B60W 30/09 Taking automatic action to avoid collision, e.g. braking and steering
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: G08G 1/16 Anti-collision systems road vehicle drive control systems for predicting or avoiding probable or impending collision otherwise than by control of a particular sub-unit B60W30/08
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes

Abstract

A method for monitoring and signaling a traffic situation in the surrounding environment of a vehicle, a sensor acquiring a surrounding environment of the vehicle, an object at risk being recognized in the acquired environment, a collision probability and a prediction reliability being determined for the recognized object at risk, and when there is a given collision probability and a low prediction reliability an action of a first type being carried out, and when there is a given collision probability and a high prediction reliability an action of a second type being carried out. The present invention further relates to a driver assistance system for carrying out the method.

Claims

1. A driver assistance system for monitoring and signaling a traffic situation in a surrounding environment of a vehicle, comprising:

two or more sensor systems to acquire a surrounding environment of a vehicle;

a recognizing component to recognize objects in the acquired environment;

a reliability determining component to determine a prediction reliability concerning an object recognized in the environment;

a probability determining component to determine a probability of collision of the recognized object with the vehicle; and

an action component to carry out an action of a first type when there is a given collision probability and a low prediction reliability, and to carry out an action of a second type when there is the given collision probability and a high prediction reliability, wherein after carrying out the action of the first type, when there is the given collision probability and the high prediction reliability, the an action of the second type is carried out, and wherein the high prediction reliability is determined when the object is recognized via each of a plurality of the sensor systems and determined to have the given collision probability.

2. The driver assistance system of claim 1, further comprising:

an acoustic signal emitter situated on the rear side of the vehicle.

3. A method for monitoring and signaling a traffic situation in a surrounding environment of a vehicle, the method comprising:

acquiring, via two or more sensor systems, a surrounding environment of the vehicle;

recognizing an object at risk in the acquired environment;

determining a collision probability and a prediction reliability for the recognized object at risk; and

performing, for a given collision probability and a low prediction reliability, an action of a first type, and performing for the given collision probability and a high prediction reliability, an action of a second type,

wherein after carrying out the action of the first type, when there is the given collision probability and the high prediction reliability, the action of the second type is carried out, wherein the high prediction reliability is assigned when the object is recognized via each of a plurality of the sensor systems and determined to have the given collision probability.

4. The method of claim 3, wherein the action of the first type includes an outputting at least one of an acoustic and an optical warning signal to the recognized object at risk.

5. The method of claim 3, wherein the action of the first type includes an outputting at least one of an acoustic and/or optical and a haptic warning signal to the driver of the vehicle.

6. The method of claim 3, wherein the action of the second type includes an intervention in the drive train of the vehicle.

7. The method of claim 3, wherein the given collision probability relates to the circumstance that the recognized object at risk is situated in a travel tube or in a region at risk of the vehicle, or threatens to become situated therein.

8. The method of claim 3, wherein the given collision probability relates to the circumstance that an assigned period of time until collision with the recognized object at risk has fallen below a defined value, in particular 3 seconds, 2 seconds, or 1 second.

9. The method of claim 3, wherein the action of the second type includes an intervention in the drive train of the vehicle, the intervention including an introduction of a braking of the vehicle.

10. The method of claim 3, wherein the given collision probability relates to the circumstance that an assigned period of time until collision with the recognized object at risk has fallen below a defined value of 3 seconds.

11. The method of claim 3, wherein the given collision probability relates to the circumstance that an assigned period of time until collision with the recognized object at risk has fallen below a defined value of 2 seconds.

12. The method of claim 3, wherein the given collision probability relates to the circumstance that an assigned period of time until collision with the recognized object at risk has fallen below a defined value of 1 second.

13. The method of claim 3, wherein the low prediction reliability is assigned when the object is recognized via only one of the plurality of sensor systems.

14. The method of claim 3 wherein the plurality of sensor systems includes at least two of the following:

optical sensor system;

ultrasound sensor system;

radar sensor system; and

lidar sensor system.

15. The method of claim 14 wherein the high prediction reliability is assigned when the object is recognized via the optical sensor system and the ultrasound sensor system and determined to have the given collision probability.

16. A non-transitory computer readable medium having a computer program thereon, which is executable by a processor, comprising:

a program code arrangement having program code for monitoring and signaling a traffic situation in a surrounding environment of a vehicle, by performing the following;

acquiring, via two or more sensor systems, a surrounding environment of the vehicle;

recognizing an object at risk in the acquired environment;

determining a collision probability and a prediction reliability for the recognized object at risk; and

performing, for a given collision probability and a low prediction reliability, an action of a first type, and performing for the given collision probability and a high prediction reliability, an action of a second type,

wherein after carrying out the action of the first type, when there is the given collision probability and the high prediction reliability, the action of the second type is carried out, wherein the high prediction reliability is assigned when the object is recognized via each of a plurality of the sensor systems and determined to have the given collision probability.