David Paul Lawlor

US Patent:

20210310812, Oct 7, 2021

Filed:

Apr 6, 2020

Appl. No.:

16/841252

Inventors:

- Eindhoven, NL
Anish Mittal - San Francisco CA, US
David Johnston Lawlor - Evanston IL, US

Assignee:

HERE Global B.V. - Eindhoven

International Classification:

G01C 21/32
G06K 9/00
G06K 9/32

Abstract:

Systems and methods for verifying mapping information are provided. In some aspects, a method includes receiving control data acquired in an area of interest, the control data comprising a plurality of control points, and receiving mapping data associated with the area of interest, the mapping data comprising a plurality of mapping points that correspond to the plurality control points. The method also includes applying a localization algorithm to the control data to generate a control track, and applying the localization algorithm to the mapping data to generate a mapping track. The method further includes comparing the control track and the mapping track to determine a difference.

US Patent:

20210272310, Sep 2, 2021

Filed:

Feb 27, 2020

Appl. No.:

16/803434

Inventors:

- Eindhoven, NL
ANISH MITTAL - San Francisco CA, US
DAVID JOHNSTON LAWLOR - Evanston IL, US

International Classification:

G06T 7/70
G06F 16/29
G06F 16/587

Abstract:

Systems and methods for identifying data suitable for mapping are provided. In some aspects, the method includes receiving one or more images acquired in an area of interest, and selecting at least two ground control points within a field of view of the one or more images. The method also includes determining perceived locations for the at least two ground control points using the one or more images, and computing pairwise distances between the perceived locations and predetermined locations of the at least two ground control points. The method further includes comparing corresponding pairwise distances to identify differences therebetween, and determining a suitability of the one or more images for mapping based on the comparison.

US Patent:

20200380271, Dec 3, 2020

Filed:

Aug 17, 2020

Appl. No.:

16/995495

Inventors:

- Eindhoven, NL
Richard KWANT - Oakland CA, US
Zhanwei CHEN - Oakland CA, US
Himaanshu GUPTA - San Francisco CA, US
David LAWLOR - Chicago IL, US

International Classification:

G06K 9/00
G05D 1/00
G06K 9/62
G06T 11/20
G06T 7/12
G05D 1/02

Abstract:

An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.

US Patent:

20200285862, Sep 10, 2020

Filed:

Mar 5, 2019

Appl. No.:

16/293328

Inventors:

- Eindhoven, NL
Anish MITTAL - San Francisco CA, US
David LAWLOR - Chicago IL, US
Zhanwei CHEN - Richmond CA, US

International Classification:

G06K 9/00
G06T 7/00
G06T 5/00
G06T 7/10

Abstract:

An approach is provided for detecting degraded ground paint in an image. The approach, for example, involves performing semantic segmentation on the image to determine one or more pixels of the image that are classified in a ground paint category. The approach also involves generating a binary image that contains the one or more pixels of the image that are classified in the ground paint category. The approach further involves generating a hole-filled binary image by filling in the binary image to generate one or more curvilinear structures from the one or more pixels. The approach further involves determining a difference between the image and the hole-filled binary image to identify one or more degraded ground paint pixels of the image and providing the one or more degraded ground paint pixels as an output.

US Patent:

20200167603, May 28, 2020

Filed:

Nov 27, 2018

Appl. No.:

16/201527

Inventors:

- Eindhoven, NL
Zhanwei CHEN - Richmond CA, US
Anish MITTAL - San Francisco CA, US
Nicholas POJMAN - San Francisco CA, US
David LAWLOR - Chicago IL, US

International Classification:

G06K 9/62
G06T 7/70
G06T 7/20
G06T 11/60
G06F 3/0484
G06T 7/73

Abstract:

An approach is provided for image labeling for cross view alignment. The approach, for example, involves determining camera pose data, camera trajectory data, or a combination thereof for a first image depicting an area from a first perspective view. The approach also involves processing the camera pose data, the camera trajectory data, or a combination thereof to generate meta data indicating a position, an orientation, or a combination thereof of the first perspective view of the area relative to a second image depicting the area from a second perspective view. The approach further involves providing data for presenting the meta data in a user interface as an overlay on the second perspective view.

US Patent:

20200104727, Apr 2, 2020

Filed:

Dec 2, 2019

Appl. No.:

16/700662

Inventors:

- Eindhoven, NL
Anish MITTAL - Berkeley CA, US
David LAWLOR - Chicago IL, US
Zhanwei CHEN - Oakland CA, US
Himaanshu GUPTA - San Francisco CA, US

International Classification:

G06N 5/02
G06T 7/73
G06T 7/77
G06N 3/08
G06T 7/70
G06T 7/11
G06K 9/62
G06K 9/66

Abstract:

An approach is provided for a redundant feature detection engine. The approach, for instance, involves segmenting an input image into a plurality of grid cells for processing by the redundant feature detection engine. The redundant feature detection engine includes a neural network. The approach also involves, for each of the plurality of grid cells, initiating a prediction of an object code by the redundant feature detection engine. The object code is a predicted feature that uniquely identifies an object depicted in the input image. The approach further involves aggregating the plurality of grid cells into one or more clusters based on the object code predicted for said each grid cell. The approach further involves predicting one or more features of the object corresponding to a respective cluster of the one or more clusters by merging one or more feature prediction outputs of said each grid cell in the respective cluster.

US Patent:

20190347851, Nov 14, 2019

Filed:

Jul 25, 2019

Appl. No.:

16/522337

Inventors:

- Eindhoven, NL
Anish MITTAL - Berkeley CA, US
David LAWLOR - Chicago IL, US

International Classification:

G06T 17/05
G06T 17/20

Abstract:

An approach is provided for determining a polygon of a geographic database that overlaps a candidate polygon or candidate point. The geographic database represents stored polygons as respective polygon points with zero area. The approach involves determining proximate polygon points from among the respective polygon points with zero area that are within a distance threshold of the candidate polygon or the candidate point. The approach also involves retrieving one or more proximate polygons from the geographic database that correspond to the one or more proximate polygon points. The approach further involves determining an intersection between the one or more proximate polygons and the candidate polygon or the candidate point. The approach then involves selecting the polygon that overlaps the candidate polygon or the candidate point based on the determined intersection.

US Patent:

20190311205, Oct 10, 2019

Filed:

Apr 5, 2018

Appl. No.:

15/946364

Inventors:

- Eindhoven, NL
Richard KWANT - Oakland CA, US
Zhanwei CHEN - Oakland CA, US
Himaanshu GUPTA - San Francisco CA, US
David LAWLOR - Chicago IL, US

International Classification:

G06K 9/00
G06K 9/62
G06T 11/20
G05D 1/00

Abstract:

An approach is provided for an asymmetric evaluation of polygon similarity. The approach, for instance, involves receiving a first polygon representing an object depicted in an image. The approach also involves generating a transformation of the image comprising image elements whose values are based on a respective distance that each image element is from a nearest image element located on a first boundary of the first polygon. The approach further involves determining a subset of the plurality of image elements of the transformation that intersect with a second boundary of a second polygon. The approach further involves calculating a polygon similarity of the second polygon with respect the first polygon based on the values of the subset of image elements normalized to a length of the second boundary of the second polygon.