TRAFFIC OBJECT RECOGNITION SYSTEM, METHOD FOR RECOGNIZING A TRAFFIC OBJECT, AND METHOD FOR SETTING UP A TRAFFIC OBJECT RECOGNITION SYSTEM

• US 20110184895A1
• Filed: 11/19/2008
• Published: 07/28/2011
• Est. Priority Date: 04/18/2008
• Status: Abandoned Application

• Current Assignee: Robert Bosch GmbH
• Original Assignee: Robert Bosch GmbH
• Inventors: Janssen, Holger
• Application Number:
  US12/988,389
• Publication Number:
  US 20110184895A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06V 20/54 of traffic, e.g. cars on the road, trains or boats
• CPC Class Codes: G06V 20/582 of traffic signs
• CPC Class Codes: G06V 2201/08 Detecting or categorising vehicles
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096758 where no selection takes place on the transmitted or the received information
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle

Abstract

A method for setting up a traffic object recognition system. A scene generator simulates three-dimensional simulations of various traffic situations which include at least one of the traffic objects. A projection unit generates signals which correspond to signals that the sensor would detect in a traffic situation simulated by the three-dimensional simulation. The signals are sent to the evaluation unit for recognizing traffic objects, and the pattern recognition is trained based on a deviation between the traffic objects simulated in the three-dimensional simulations of traffic situations and the traffic objects recognized therein.

Claims

1-10. -10. (canceled)

11. A method for setting up a traffic object recognition system, comprising:

simulating, by a scene generator, three-dimensional simulations of various traffic situations which include at least one traffic object;

generating, by a projection unit, signals which correspond to signals that a sensor detects in a traffic situation simulated by the three-dimensional simulation;

sending signals for recognizing traffic objects to a pattern recognition unit; and

training the pattern recognition unit based on a deviation between the traffic objects simulated in the traffic situations and the recognized traffic objects.

12. The method as recited in claim 11, further comprising:

training the traffic object recognition system using actual traffic situations.

13. The method as recited in claim 11, further comprising:

adapting at least one of the scene generator and the projection unit based on a deviation between the traffic objects simulated in traffic situations and the recognized traffic objects.

14. The method as recited in claim 11, wherein the projection unit physically projects the simulated traffic situation, and, for generating the signals, the sensor detects the physically projected traffic situation.

15. The method as recited in claim 11, wherein the simulation of the traffic situation includes at least one of a roadway model, a weather model, a landscape model, and a sky model.

16. The method as recited in claim 11, wherein the simulation of the traffic situation includes at least one of an illumination model, and a light beam tracking model.

17. The method as recited in claim 11, wherein the simulation of the traffic situation includes a motion model of a vehicle using the sensor.

18. The method as recited in claim 11, wherein data of recorded actual traffic situations and information concerning the traffic objects present in the recorded actual traffic situation are also provided, and the pattern recognition unit is trained based on a deviation between the traffic objects present in the recorded actual traffic situations and the traffic objects recognized by the pattern recognition unit.

19. A traffic object recognition system for recognizing a traffic object in a traffic situation, comprising:

at least one sensor to detect a traffic situation; and

a pattern recognition unit to recognize the traffic object in the detected traffic situation;

wherein the pattern recognition unit is configured so that it is trained based on three-dimensional virtual traffic situations which contain the traffic object.

20. A method for recognizing a traffic object in a traffic situation, comprising:

detecting a traffic situation using at least one sensor; and

recognizing the traffic object in the detected traffic situation using a pattern recognition unit which is trained based on three-dimensional virtual traffic situations which contain the traffic object.