Method and apparatus for generating map geometry based on a received image and probe data

Patent metadata

Field	Value
Publication number	US-2016239983-A1
Application number	US-201514622026-A
Country	US
Kind code	A1
Filing date	Feb 13, 2015
Priority date	Feb 13, 2015
Publication date	Aug 18, 2016
Grant date	—

Abstract

A method, apparatus and computer program product are provided for generating map geometry based on a received image and probe data. A method is provided including receiving a first image and probe data associated with the first image, categorizing pixels of the first image based on the probe data, and generating a map geometry based on the pixel categorization of the first image.

First claim

1 . A method comprising:
receiving a first image and probe data associated with the first image; categorizing pixels of the first image based on the probe data; and generating a map geometry based on pixel categorization of the first image.

2 . The method of claim 1 further comprising:
receiving a second image;
categorizing pixels of the second image based on the categorization of the pixels of the first image; and
generating a map geometry based on pixel categorization of the second image.

3 . The method of claim 1 , wherein the categorizing pixels of the first image is based on probe data density.

4 . The method of claim 3 , further comprising;
determining a target center based on probe data density, and wherein the categorizing pixels is based on the target center.

5 . The method of claim 1 , wherein the categorizing pixels comprises categorizing pixels as target pixels and non-target pixels.

6 . The method of claim 1 further comprising:
determining a target confidence value of pixels of the first image based on the probe data, and
wherein the categorizing pixels is based on the target confidence value of the respective pixel satisfying a predetermined target confidence value threshold.

7 . The method of any of claims 1 - 6 , further comprising:
updating or generating map data based on the map geometry.

8 . An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and computer program code configured to, with the processor, cause the apparatus to at least:
receive a first image and probe data associated with the first image; categorize pixels of the first image based on the probe data; and generate a map geometry based on pixel categorization of the first image.

9 . The apparatus of claim 8 , wherein the at least one memory and the computer program code are further configured to:
receive a second image; categorize pixels of the second image based on the categorization of the pixels of the first image; and generate a map geometry based on pixel categorization of the second image.

10 . The apparatus of claim 8 , wherein the categorizing pixels of the first image is based on probe data density.

11 . The apparatus of claim 10 , wherein the at least one memory and the computer program code are further configured to:
determine a target center based on probe data density, and wherein the categorizing pixels is based on the target center.

12 . The apparatus of claim 8 , wherein the categorizing pixels comprises categorizing pixels as target pixels and non-target pixels.

13 . The apparatus of any of claims 8 - 12 , wherein the at least one memory and the computer program code are further configured to:
determine a target confidence value of pixels of the first image based on the probe data, and wherein the categorizing pixels is based on the target confidence value of the respective pixel satisfying a predetermined target confidence value threshold.

14 . The apparatus of claim 8 , wherein the at least one memory and the computer program code are further configured to:
update or generate map data based on the map geometry.

15 . A computer program product comprising at least one non-transitory computer-readable storage medium having computer-executable program code portions stored therein, the computer-executable program code portions comprising program code instructions configured to:
receive a first image and probe data associated with the first image; categorize pixels of the first image based on the probe data; and generate a map geometry based on pixel categorization of the first image.

16 . The computer program product of claim 15 , wherein the computer-executable program code portions further comprise program code instructions configured to:
receive a second image; categorize pixels of the second image based on the categorization of the pixels of the first image; and generate a map geometry based on pixel categorization of the second image.

17 . The computer program product of claim 15 , wherein the categorizing pixels of the first image is based on probe data density.

18 . The computer program product of claim 17 , wherein the computer-executable program code portions further comprise program code instructions configured to:
determine a target center based on probe data density, and wherein the categorizing pixels is based on the target center.

19 . The computer program product claim 15 , wherein the categorizing pixels comprises categorizing pixels as target pixels and non-target pixels.

20 . The computer program product of claim 15 , wherein the computer-executable program code portions further comprise program code instructions configured to:
determine a target confidence value of pixels of the first image based on the probe data, and wherein the categorizing pixels is based on is based on the target confidence value of the respective pixel satisfying a predetermined target confidence value threshold.

21 - 28 . (canceled)

Assignees

• Here Global Bv

Inventors

• Dorum Ole Henry
• Endres Ian

Classifications

• G06K9/0063

  Physics · mapped topic

• G06T7/60 Primary

  Analysis of geometric attributes · CPC title

• G06T11/20 Primary

  Drawing from basic elements · CPC title

• G06V20/182 Primary

  Network patterns, e.g. roads or rivers · CPC title

• G01C11/04

  Interpretation of pictures · CPC title