SYSTEM AND METHOD FOR MAP MATCHING WITH SENSOR DETECTED OBJECTS

• US 20090228204A1
• Filed: 02/03/2009
• Published: 09/10/2009
• Est. Priority Date: 02/04/2008
• Status: Abandoned Application

• Current Assignee: Tele Atlas Deutschland GmbH & Co., KG, Tele Atlas North America (TomTom NV), Tele Atlas N.V. (TomTom NV), Tele Atlas Polska SP zoo (TomTom NV)
• Original Assignee: TELA Atlas BV, Tele Atlas North America (TomTom NV)
• Inventors: Hiestermann, Volker, Zavoli, Walter B., Kmiecik, Marcin Michal, T'Siobbel, Stephen
• Application Number:
  US12/365,119
• Publication Number:
  US 20090228204A1
• Time in Patent Office: Days
• US Class Current: 701/208
• CPC Class Codes: G01C 21/30 Map- or contour-matching
• CPC Class Codes: G01S 13/86 Combinations of radar systems with non-radar systems, e.g. sonar, direction finder

Abstract

A system and method for map matching with sensor detected objects. A direct sensor and object matching technique can be used to disambiguate objects that the driver passes. The technique also makes it possible for the navigation system to refine (i.e. improve the accuracy of) its position estimate. In some embodiments, a camera in the car can be used to produce, dynamically in real time, images of the vicinity of the vehicle. Map and object information can then be retrieved from a map database, and superimposed on those images for viewing by the driver, including accurately defining the orientation or the platform so that the alignment of the map data and the image data is accurate. Once alignment is achieved, the image can be further enhanced with information retrieved from the database about any in-image objects. Objects may be displayed accurately on a map display as icons that help the driver as he/she navigates the roads.

Claims

1. A method comprising the steps of:

detecting at least one of a plurality of objects in the vicinity of a vehicle, using a sensor of said vehicle and estimating characteristics about said object, said sensor being calibrated to the position and orientation of said vehicle using GPS or another position and/or orientation-determination technology,

estimating a location of said sensed object from position and orientation estimates of said vehicle, and at least some of the measurements of the sensor;

querying a map or image database by vehicle position or estimated sensed object location, said database allowing information to be retrieved for one or more of a plurality of objects, to extract at least one object depicted in said database for that position; and

comparing the sensed object with the extracted object using a comparison logic, and, if such comparison is successful to a predetermined degree, effecting one or more of

an adjustment of the GPS or otherwise-determined position or orientation of the vehicle,

an adjustment of the position information for the extracted object as appearing in the database, or

a graphical display of the extracted, database-depicted object as an icon or other graphical image on a graphical display of a navigation unit in an appropriate position as regards map data being concurrently displayed thereon being representative of the environs of current vehicle position.

2. The method of claim 1, further comprising:

estimating the vehicle'"'"'s position and orientation together with an estimate of the accuracy of that positional estimate; and

retrieving, from the map database, object data for any objects that fall within the accuracy estimate centered on the estimated object position.

3. The method of claim 1, wherein the comparison logic compares one or more of the size, shape, height, visible color, degree of flat surface, or reflectivity of said object.

4. The method of claim 1, wherein if the set of objects extracted is only one object, then said object is matched if its comparison function passes a threshold test.

5. The method of claim 1, further comprising:

estimating the vehicle'"'"'s position and orientation together with an estimate of the accuracy of that positional estimate;

retrieving, from the map database, object data for any objects that fall within the accuracy estimate centered on the estimated object position; and

wherein if the set of objects extracted is only one object, then said object is matched if its comparison function passes a threshold test.

6. The method of claim 1, wherein if no object is within the estimate of positional location accuracy or contour of equal probability (CEP) then no match is made.

7. The method of claim 1, wherein if the set of objects retrieved is more than one object, then said object is matched if its score is best, and passes said threshold and its score is better than a second threshold of the next best score.

8. The method of claim 1, further comprising:

estimating the vehicle'"'"'s position and orientation together with an estimate of the accuracy of that positional estimate;

retrieving, from the map database, object data for any objects that fall within the accuracy estimate centered on the estimated object position; and

wherein if the set of objects retrieved is more than one object, then said object is matched if its score is best, and passes said threshold and its score is better than a second threshold of the next best score.

9. The method of claim 1, wherein the characteristics stored in said map database for each object include characteristics from more than one sensor type.

10. The method of claim 5, wherein the characteristics stored in said map database for each object include characteristics from more than one sensor type.

11. The method of claim 8, wherein the characteristics stored in said map database for each object include characteristics from more than one sensor type.

12. The method of claim 2 wherein said estimated accuracy is a combination of the vehicle'"'"'s current positional accuracy and said basic sensor accuracy.

13. The method of claim 2, wherein accuracy estimates are defined in one of a 2D space or a 3D space.

14. The method of claim 12, wherein accuracy estimates are defined in one of a 2D space or a 3D space.

15. The method of claim 1, wherein a characteristic of said objects are their point clusters, and wherein one comparison is a correlation function between the sensed object point cluster and the extracted object point cluster.

16. The method of claim 15, wherein the map database contains point clusters for different sensors.

17. The method of claim 15, wherein said correlation is centered around the centroid of sensed and extracted objects.

18. The method of claim 1, wherein one of the sensed characteristics of an object is the reception of an RFID that is linked to an object.

19. The method of claim 1, wherein the object is provided with a corner reflector and is linked to a transponder such that an RFID signal is broadcast when the reflector is illuminated by the sensor.

20. The method of claim 1, wherein the method is used for calibration between an image collected in a vehicle, and the road network, so that the road network and other elements of the map can be superimposed on real-time camera images collected in the car and shown to the driver.

21. The method of claim 1, wherein said comparison logic uses image matching technology, including a computation of the Hausdorff Distance.

22. A system comprising:

an interface to one or more sensors, for detecting at least one of a plurality of objects in the vicinity of a vehicle, using a sensor of said vehicle and estimating characteristics about said object, said sensor being calibrated to the position and orientation of said vehicle using GPS or another position and/or orientation-determination technology;

an interface for querying a map or image database by vehicle position or estimated sensed object location, said database allowing information to be retrieved for one or more of a plurality of objects, to extract at least one object depicted in said database for that position; and

a logic for

estimating a location of said sensed object from position and orientation estimates of said vehicle, and at least some of the measurements of the sensor, and

comparing the sensed object with the extracted object and, if such comparison is successful to a predetermined degree, effecting one or more of

an adjustment of the GPS or otherwise-determined position or orientation of the vehicle,

an adjustment of the position information for the extracted object as appearing in the database, or

a graphical display of the extracted, database-depicted object as an icon or other graphical image on a graphical display of a navigation unit in an appropriate position as regards map data being concurrently displayed thereon being representative of the environs of current vehicle position.

23. The system of claim 22, wherein the system further:

estimates the vehicle'"'"'s position and orientation together with an estimate of the accuracy of that positional estimate; and

retrieves, from the map database, object data for any objects that fall within the accuracy estimate centered on the estimated object position.

24. The system of claim 22, wherein if the set of objects extracted is only one object, then said object is matched if its comparison function passes a threshold test.

25. The system of claim 22, wherein if the set of objects retrieved is more than one object, then said object is matched if its score is best, and passes said threshold and its score is better than a second threshold of the next best score.

26. A computer readable medium, including instructions stored thereon, which when read and executed by a computer cause the computer to perform the steps comprising:

detecting at least one of a plurality of objects in the vicinity of a vehicle, using a sensor of said vehicle and estimating characteristics about said object, said sensor being calibrated to the position and orientation of said vehicle using GPS or another position and/or orientation-determination technology,

estimating a location of said sensed object from position and orientation estimates of said vehicle, and at least some of the measurements of the sensor;

querying a map or image database by vehicle position or estimated sensed object location, said database allowing information to be retrieved for one or more of a plurality of objects, to extract at least one object depicted in said database for that position; and

comparing the sensed object with the extracted object using a comparison logic, and, if such comparison is successful to a predetermined degree, effecting one or more of

an adjustment of the GPS or otherwise-determined position or orientation of the vehicle,

an adjustment of the position information for the extracted object as appearing in the database, or

a graphical display of the extracted, database-depicted object as an icon or other graphical image on a graphical display of a navigation unit in an appropriate position as regards map data being concurrently displayed thereon being representative of the environs of current vehicle position.