초록

A method for detecting a traffic zone using an on-board sensor system. Objects from the surroundings of the host vehicle are detected using the sensor system. The course of the traffic lanes is derived from the performance characteristics of the objects detected by the sensors.

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1. A method for detecting a traffic zone using an on-board sensor system, the method comprising: detecting objects from surroundings of a host vehicle;deriving a course of traffic lanes from performance characteristics of the objects detected by the sensors;comparing the direction of travel of the h

1. A method for detecting a traffic zone using an on-board sensor system, the method comprising: detecting objects from surroundings of a host vehicle;deriving a course of traffic lanes from performance characteristics of the objects detected by the sensors;comparing the direction of travel of the host vehicle to a direction of travel of objects in adjacent traffic lanes; andgenerating, in the event of a lane change of the host vehicle to a traffic lane carrying oncoming traffic, at least one warning;wherein a number of objects traveling in a same direction on adjacent traffic lanes is detected, and a recommendation for a lane change to an adjacent lane is provided if a lower number of objects is detected there. 2. The method of claim 1, wherein a direction of travel, a velocity, and a lateral offset with respect to the host vehicle are detected as the performance characteristics of the objects. 3. The method of claim 1, wherein an average velocity is determined for each of the traffic lanes. 4. The method of claim 1, wherein the velocity of the host vehicle is compared with the average velocity of the objects traveling in the same direction on adjacent traffic lanes and a recommendation for a lane change to an adjacent lane occurs if a higher average velocity of the objects is detected there. 5. The method of claim 1, wherein a lateral distance of an object to the host vehicle, as detected by a sensor, is weighted using a weighting factor. 6. The method of claim 5, wherein the weighting factor is between 0 and 1, the weighting factor of 1 being assigned to a lateral distance in an interval between qr and ql and the weighting factor of 0 being assigned to edges of a traffic lane predefined as a model. 7. The method of claim 1, wherein the traffic lane information is shown on a display device. 8. The method of claim 1, wherein a direction of travel, a velocity, and a lateral offset with respect to the host vehicle are detected as the performance characteristics of the objects, wherein an average velocity is determined for each of the traffic lanes. 9. The method of claim 8, wherein the velocity of the host vehicle is compared with the average velocity of the objects traveling in the same direction on adjacent traffic lanes and a recommendation for a lane change to an adjacent lane occurs if a higher average velocity of the objects is detected there. 10. The method of claim 8, wherein a lateral distance of an object to the host vehicle, as detected by a sensor, is weighted using a weighting factor, and wherein the weighting factor is between 0 and 1, the weighting factor of 1 being assigned to a lateral distance in an interval between qr and ql and the weighting factor of 0 being assigned to edges of a traffic lane predefined as a model. 11. The method of claim 8, wherein the traffic lane information is shown on a display device. 12. The method of claim 1, wherein output quantities are low-pass filtered by a low-pass filter function module, so that erroneous individual models are filtered out to obtain relatively stable traffic lane information. 13. The method of claim 12, wherein stationary objects are filtered out. 14. The method of claim 1, wherein stationary objects are filtered out. 15. A driver assistance system, comprising: a system arrangement including: a time detection function module to provide time detection;a performance characteristics function module to detect performance characteristics of the host vehicle;an object data function module to detect object data from a traffic zone;a modeled traffic lane function module to determine a modeled traffic lane; anda traffic lane information function module to provide traffic lane information;wherein the system arrangement is operable to: detect a traffic zone using an on-board sensor system having sensors by deriving a course of the traffic lanes from the performance characteristics of the objects detected by the sensors,compare the direction of travel of the host vehicle to a direction of travel of objects in adjacent traffic lanes,generate at least one warning in the event that the host vehicle changes lanes to a traffic lane carrying oncoming traffic, anddetect a number of objects traveling in a same direction on adjacent traffic lanes and provide a recommendation for a lane change to an adjacent lane if a lower number of objects is detected there. 16. The driver assistance system of claim 15, wherein a direction of travel, a velocity, and a lateral offset with respect to the host vehicle are detected as the performance characteristics of the objects, wherein an average velocity is determined for each of the traffic lanes. 17. The driver assistance system of claim 16, wherein the velocity of the host vehicle is compared with the average velocity of the objects traveling in the same direction on adjacent traffic lanes and a recommendation for a lane change to an adjacent lane occurs if a higher average velocity of the objects is detected there. 18. The driver assistance system of claim 16, wherein a lateral distance of an object to the host vehicle, as detected by a sensor, is weighted using a weighting factor, and wherein the weighting factor is between 0 and 1, the weighting factor of 1 being assigned to a lateral distance in an interval between qr and ql and the weighting factor of 0 being assigned to edges of a traffic lane predefined as a model. 19. The driver assistance system of claim 16, wherein the traffic lane information is shown on a display device.