Method for object formation

• US 20090303234A1
• Filed: 02/07/2008
• Published: 12/10/2009
• Est. Priority Date: 03/15/2007
• Status: Active Grant

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Becker, Jan-Carsten
• Granted Patent: US 8,233,663 B2
• Time in Patent Office: Days
• US Class Current: 345/420
• CPC Class Codes: B60R 21/0134 responsive to imminent contact with an obstacle , e.g. using radar systems
• CPC Class Codes: B60T 7/22 initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle , or by means of contactless obstacle detectors mounted on the vehicle
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
• CPC Class Codes: G01S 13/931 of land vehicles
• CPC Class Codes: G01S 2013/9325 for inter-vehicle distance regulation, e.g. navigating in platoons

Abstract

The invention relates to a method for object formation for environmental modeling, wherein the processing of information of a sensor is carried out in consideration of a segmenting threshold (62) that is non-linear at least in sections. The invention further relates to a device for object formation for environmental modeling, and to a computer program, and a computer program product.

Claims

1. A method for object formation for environmental modeling, in which information received from a sensor (70) is handled with consideration for a segmenting threshold (56, 60, 62, 78) which is non-linear, at least in sections.

2. The method as recited in claim 1, in which the at least one non-linear segmenting threshold (56, 60, 62, 78) is implemented in a functionally adaptive manner.

3. The method as recited in claim 1, in which the at least one non-linear segmenting threshold (56, 60, 62, 78) is implemented based on a characteristic curve.

4. The method as recited in claim 1, in which the at least one non-linear segmenting threshold (56, 60, 62, 78) is implemented in a manner such that it is adapted to the situation and is based on a model.

5. The method as recited in claim 1, in which the object formation is carried out in a manner based on a cell grid.

6. The method as recited in claim 1 in which sensor signal processing is carried out.

7. The method as recited in claim 1, in which sensor data fusion is carried out.

8. The method as recited in claim 1, which is used for a driver assistance system.

10. A computer program that includes program code means for carrying out all steps of a method as recited in claim 1 when the computer program is run on a computer or a related arithmetic unit, in particular in a device (66).

11. A computer program product that includes program code means which are stored on a computer-readable data storage device, for implementing all steps of a method as recited in claim 1 when the computer program is run on a computer or a related arithmetic unit, in particular in a device (66).

9. A device for carrying out an object formation for environmental modeling, which includes at least one module (68) which is designed to handle information received from a sensor (70) with consideration for a segmenting threshold (56, 60, 62, 78) which is non-linear, at least in sections.