Object detection method for vehicles

• US 20060023917A1
• Filed: 07/01/2005
• Published: 02/02/2006
• Est. Priority Date: 07/01/2004
• Status: Abandoned Application

• Current Assignee: DaimlerChrysler AG (Mercedes-Benz Group AG)
• Original Assignee: DaimlerChrysler AG (Mercedes-Benz Group AG)
• Inventors: Dickmann, Juergen, Prasanna, Rajan, Skutek, Michael
• Application Number:
  US11/173,578
• Publication Number:
  US 20060023917A1
• Time in Patent Office: Days
• US Class Current: 382/104
• CPC Class Codes: G01S 13/726 Multiple target tracking
• CPC Class Codes: G01S 17/66 Tracking systems using electromagnetic waves other than radio waves
• CPC Class Codes: G01S 17/931 of land vehicles
• CPC Class Codes: G01S 7/4802 using analysis of echo signal for target characterisation; Target signature; Target cross-section

Abstract

An object detection method for vehicles, which employs at least one sensor S for cyclically detecting a vehicle'"'"'s surroundings whose measured values M are projected into a freely definable grid G and are combinable into grid-based segments that can be assigned to identified objects O, and, in accordance with which, tracks for these objects O are ascertained which can be used for controlling vehicle functions. The cells Z of the grid G are designed to have incremental dimensions that differ in their incremental dimensions in the radial and/or circumferential direction in such a way that a functionally optimized object resolution is achieved.

Claims

1. A method of detecting an object in a vehicle surroundings for a vehicle, the method comprising:

cyclically detecting the vehicle'"'"'s surroundings using at least one sensor so as to obtain a plurality of measured values;

providing a freely definable grid including a plurality of cells, each having incremental dimensions in a radial direction and a circumferential direction;

projecting the measured values into the grid;

combining the measured values into at least one grid-based segment;

assigning the grid-based segment at least one identified object;

ascertaining at least one track for the at least one identified object, the at least one track being useable for controlling a vehicle function; and

defining the incremental dimensions so as to differ from one another in at least one of the radial and the circumferential directions so as to functionally optimize a resolution of the object.

2. The method as recited in claim 1, wherein the defining of the incremental dimensions includes increasing the radial incremental dimensions of the cells in at least one region of the grid with increasing radial distance from the sensor.

3. The method as recited in claim 2, wherein the at least one region is limited to a middle circumferential region of the grid.

4. The method as recited in claim 1, wherein the defining of the incremental dimensions includes increasing the circumferential incremental dimensions of the cells in at least one region of the grid toward lateral edges of the grid.

5. The method as recited in claim 1, wherein the defining of the incremental dimensions includes increasing the incremental dimensions according to a geometric mathematical sequence.

6. The method as recited in claim 5, wherein the incremental dimensions are increased according to an exponential mathematical sequence.

7. The method as recited in claim 1, wherein the defining of the incremental dimensions includes increasing the incremental dimensions to a greatest degree at lateral peripheral regions of the grid with increasing radial distance from the sensor.

8. The method as recited in claim 1, wherein the projecting of the measured values includes projecting the measured values in a plurality of planes.

9. The method as recited in claim 1, wherein the segmenting is performed using an algorithm of the connected components labeling type.

10. The method as recited in claim 1, further comprising identifying an occupancy state of each cell using a filter critereon, wherein the filter criterion includes a number of measuring points per cell.

11. The method as recited in claim 1, wherein the sensor is a laser scanner.