Automatic detection of the number of lanes into which a road is divided
This invention concerns a computer-implemented method for determining a number of lanes on a road. The method comprises receiving an image, the image being a photographic image of the road or an image derived from the photographic image of the road, carrying out an analysis of the image to identify lane dividers of the road and determining a number of lanes into which the road is divided from the identification of the lane dividers. The method may comprise determining a confidence level for the determined value for the number of lanes. Map data of a plurality of roads may be generated using the value for the number of lanes determined from the computer-implemented method.
1. A computer-implemented method for determining a number of lanes on a road comprising:
receiving an image, the image being a photographic image of the road or an image derived from the photographic image of the road,
carrying out an analysis of the image to identify lane dividers of the road,
receiving probe data, the probe data comprising position data collected from vehicles travelling along the road,
determining a combined lane count from the identification of the lane dividers from the analysis of the image and from features derived from an analysis of the probe data,
determining a confidence level for the determined combined lane count according to a confidence level function, and
determining, from the combined lane count, a number of lanes into which the road is divided.
2. The computer-implemented method according to claim 1 , wherein the analysis comprises searching portions of the image for one or more spectral signatures characteristic of a lane divider.
3. The computer-implemented method according to claim 2 , wherein the spectral analysis comprises generating an image frequency spectrum by carrying out a Fourier transform of the image and comparing the image frequency spectrum with spectral signatures characteristic of the lane divider.
4. The computer-implemented method according to claim 3 , wherein the comparing step comprises searching for a set of characteristic local maxima within the image frequency spectrum.
5. The computer-implemented method according to claim 1 , comprising identifying road boundaries in the image and confining a search for lane dividers to a portion of the image within the identified road boundaries.
6. The computer-implemented method according to claim 1 , wherein the analysis comprises dividing the image into columns extending in the first, ordinate direction, comparing an image spectrum of each column to a signature characteristic of a lane divider and identifying columns whose image spectrum comprises elements the same or substantially similar to the signature characteristic of a lane divider as comprising a lane divider.
7. The computer-implemented method according to claim 1 , wherein the analysis of the image comprises determining a width of the lanes from the elements of the image identified as lane dividers.
8. The computer-implemented method according to claim 7 , comprising rejecting as a lane a space between two identified lane dividers if the space has a width above a predetermined upper width threshold or below a predetermined lower width threshold.
9. The computer-implemented method according to claim 1 , comprising rejecting the combined lane count if the determined confidence level is below a predetermined confidence threshold.
10. The computer-implemented method according to claim 1 , further comprising generating and storing map data for the road identifying the determined number of lanes.
11. The computer-implemented method according to claim 1 , further comprising:
providing navigation information by a navigation device, said information including the determined number of lanes.
12. A non-transitory computer readable medium having stored thereon instructions, which, when executed by a processor cause the processor to execute a method for determining a number of lanes on a road, comprising:
receiving an image, the image being a photographic image of the road or an image derived from the photographic image of the road,
carrying out an analysis of the image to identify lane dividers of the road,
receiving probe data, the probe data comprising position data collected from vehicles travelling along the road,
determining a combined lane count from the identification of the lane dividers from the analysis of the image and from features derived from an analysis of the probe data,
determining a confidence level for the determined combined lane count according to a confidence level function, and
determining, from the combined lane count, a number of lanes into which the road is divided.
13. The non-transitory computer readable medium of claim 12 , wherein the method for determining a number of lanes on a road further comprises:
providing navigation information by a navigation device, said information including the determined number of lanes.