초록 ▼

A traffic sensing system for sensing traffic at a roadway includes a first sensor having a first field of view, a second sensor having a second field of view, and a controller. The first and second fields of view at least partially overlap in a common field of view over a portion of the roadway, and

A traffic sensing system for sensing traffic at a roadway includes a first sensor having a first field of view, a second sensor having a second field of view, and a controller. The first and second fields of view at least partially overlap in a common field of view over a portion of the roadway, and the first sensor and the second sensor provide different sensing modalities. The controller is configured to select a sensor data stream for at least a portion of the common field of view from the first and/or second sensor as a function of operating conditions at the roadway.

대표청구항 ▼

1. A traffic sensing system for sensing traffic at a roadway, the system comprising: a first sensor having a first field of view;a second sensor having a second field of view, wherein the first and second fields of view at least partially overlap in a common field of view over a portion of the roadw

1. A traffic sensing system for sensing traffic at a roadway, the system comprising: a first sensor having a first field of view;a second sensor having a second field of view, wherein the first and second fields of view at least partially overlap in a common field of view over a portion of the roadway, wherein the first sensor and the second sensor are different types of sensors that together provide input of different sensing modalities in a hybrid mode to a hybrid detection module for individual processing; anda controller configured to process output of the hybrid detection module to: normalize different coordinate systems of the first and second fields of view so locations in the first and second fields of view are usable together and interchangeably; andselect a sensor data stream for at least a portion of the common field of view from the different sensing modalities of the different first and/or second sensor types as a function of operating conditions at the roadway based upon post-processing of normalized data streams from the different sensing modalities, in order to provide roadway traffic detection,wherein the operating conditions include variations of lighting and visibility of an object determined from the normalized data streams. 2. The system of claim 1, wherein the controller is further configured to select a sensor data stream for at least a portion of the common field of view as a function of type of detection. 3. The system of claim 1, wherein the first and second sensors are located adjacent to one another and are both commonly supported by a support structure. 4. The system of claim 1, wherein the portion of the roadway over which the respective first and second fields of view of the first and second sensors at least partially overlap include a detection region of interest within a first approach. 5. The system of claim 1, wherein the controller is configured to select a sensor data stream from the different sensing modalities of the first or second sensor as a function of the variations of the lighting and the visibility of the object at the roadway that include presence of shadows, daytime or nighttime lighting, rain and wet road conditions, contrast, field of view occlusion, traffic density, and sensor-to-object distance. 6. The system of claim 5, wherein the first sensor is a radar and the second sensor is a machine vision device, and wherein the controller is configured to select the machine vision device by default and use radar together with machine vision based upon the post-processing to improve detection under operating conditions that include low contrast, strong shadow, nighttime, queues, and weather conditions that decrease machine vision performance. 7. The system of claim 1, wherein the controller is configured to select based upon the post-processing a sensor data stream from the different sensing modalities of the first and/or second sensor as a function of type of detection of: object count, object speed, stop line detection, lane type, lane boundaries, object presence in a selected area, queue length, turn movement detection, object classification, and object directional warning. 8. The system of claim 1, wherein the first sensor comprises a radar assembly as the first sensor type of a first sensing modality, and wherein the second sensor comprises a machine vision assembly as the second sensor type of a second sensing modality. 9. A method of normalizing a traffic sensor system for sensing traffic at a roadway, the method comprising: positioning a first synthetic target generator device on or near the roadway;sensing roadway data with a first sensor having a first sensor coordinate system;sensing roadway data with a second sensor having a second sensor coordinate system, wherein the sensed roadway data of the first and second sensors overlap in a first roadway area, and wherein the first synthetic target generator device is positioned in the first roadway area;detecting a location of the first synthetic target generator device in the first sensor coordinate system with the first sensor;displaying sensor output of the second sensor;selecting a location of the first synthetic target generator device on the display in the second sensor coordinate system; andcorrelating the first and second coordinate systems as a function of the locations of the first synthetic target generator device in the first and second sensor coordinate systems. 10. The method of claim 9 and further comprising: positioning a second synthetic target generator device on or near the roadway;detecting a location of the second synthetic target generator device in the first sensor coordinate system with the first sensor; andselecting a location of the second synthetic target generator device on the display in the second sensor coordinate system,wherein correlating the first and second coordinate systems is also performed as a function of the locations of the second synthetic target generator device in the first and second sensor coordinate systems. 11. The method of claim 10 and further comprising: positioning a third synthetic target generator device on or near the roadwaydetecting a location of the third synthetic target generator device in the first sensor coordinate system with the first sensor; andselecting a location of the third synthetic target generator device on the display in the second sensor coordinate system,wherein correlating the first and second coordinate systems is also performed as a function of the locations of the third synthetic target generator device in the first and second sensor coordinate systems. 12. The method of claim 11, wherein the first, second and third synthetic target generator devices are the same device repositioned at different physical locations on the roadway. 13. The method of claim 11, wherein the first, second and third synthetic target generator devices are simultaneously positioned at different physical locations on the roadway. 14. The method of claim 9, wherein the first synthetic target generator device is held in a stationary position relative to the roadway. 15. A traffic sensing system and normalization kit for use at a roadway, the kit comprising: a first synthetic target generator device that is positionable on or near the roadway;a radar sensor having a first field of view that is positionable at the roadway;a machine vision sensor having a second field of view that is positionable at the roadway; anda communication device configured to communicate data from the first and second sensors to a display. 16. The kit of claim 15, wherein the first synthetic target generator device comprises a mechanical or electro-mechanical device having moving element. 17. The kit of claim 15, wherein the first synthetic target generator device comprises an electrical device that generates an electromagnetic wave to simulate a reflected radar return wave. 18. The kit of claim 15, wherein the radar sensor and the machine vision sensor are secured adjacent one another in a common hybrid sensor assembly. 19. The kit of claim 15 and further comprising: a terminal operably connectable to the communication system to allow operator input. 20. The method of claim 11, wherein the first, second and third synthetic target generator devices are not positioned collinearly.