Systems and methods of determining tread depth
There is provided a computerized system comprising a processing unit and associated memory configured to obtain a three-dimensional dataset informative of at least part of a tread of a tire, and determine, using the three-dimensional dataset, data informative of tread depth of the tire.
1. A system comprising one or more processing circuitries configured to:
obtain a three-dimensional dataset informative of at least part of a tread of a tire, wherein the three-dimensional dataset comprises a plurality of points, wherein at least some of the plurality of points have a position in the three-dimensional dataset which depends on at least one of:
(1) a viewing angle of the tread by a device, or
(2) a curvature of the tread,
generate a corrected height for at least some of the plurality of points which is independent of at least one of (1) and (2) according to a criterion,
use the three-dimensional dataset and said corrected height for said at least some of the plurality of points to determine data informative of tread depth of the tire.
2. The system of claim 1 , configured to:
obtain at least two images of a tire acquired at different viewing angles, wherein each of the two images is informative of a tread of the tire, and
generate, using the two images, the three-dimensional dataset informative of at least part of the tread.
3. The system of claim 1 , configured to determine data informative of tread depth at various locations around the tread, wherein the three-dimensional dataset is obtained based on data acquisition of the tread which captures, in a single acquisition, data informative of at least 5% of the total circumference of the tread.
4. The system according to claim 1 , configured to determine, for at least one groove of the tread, data informative of tread depth for at least 100 different locations along a bottom of the groove.
5. The system according to claim 1 , configured to generate, using the three-dimensional dataset, a map informative of height profile of at least part of the tread, wherein at least one groove present in the tread, which is represented as a curved portion in the three-dimensional dataset, is represented as a straight portion in the map.
6. The system according to claim 1 , configured to:
perform a projection at least part of the three-dimensional dataset along a predefined axis, and
use said projection to fit a predefined shape to a representation of the tread in the three-dimensional dataset.
7. The system according to claim 1 , configured to:
determine at least one surface in the three-dimensional dataset of the tread which is flat according to a criterion,
determine a local direction orthogonal to the surface, and
determine data informative of tread depth of the tire using the local direction.
8. The system according to claim 1 , configured to:
fit a predefined shape to a representation of the tread in the three-dimensional dataset, and
unwrap the predefined shape fitted to the representation of the tread into a surface to generate a map informative of height profile of at least part of the tread.
9. The system according to claim 1 , wherein at least one image used to generate the three-dimensional dataset has been acquired by an imaging device from a first angle relative to a longitudinal direction perpendicular to a surface of the tread, and wherein the tire has been illuminated by an illumination device from a second angle relative to the horizontal direction, wherein the illumination device and the imaging device are positioned so as to have the first angle being smaller than the second angle.
10. A system comprising one or more processing circuitries configured to:
obtain a three-dimensional dataset informative of at least part of a tread of a tire,
determine at least one surface in the three-dimensional dataset of the tread which is flat according to a criterion,
determine a local direction orthogonal to the surface, and
determine data informative of tread depth of the tire using the local direction.
11. The system of claim 10 , configured to:
generate, for each of a plurality of points of said surface, a corrected height with respect to said local direction, and
determine data informative of tread depth of the tire using the corrected height generated for each of said plurality of points of said surface.
12. The system of claim 10 , configured to:
obtain at least two images of a tire acquired at different viewing angles, wherein each of the two images is informative of a tread of the tire, and
generate, using the two images, the three-dimensional dataset informative of at least part of the tread based on the two images.
13. The system of claim 10 , configured to determine data informative of tread depth at various locations around the tread, wherein the three-dimensional dataset is obtained based on data acquisition of the tread which captures, in a single acquisition, data informative of at least 5% of the total circumference of the tread.
14. The system according to claim 10 , configured to determine, for at least one groove of the tread, data informative of tread depth for at least 100 different locations along a bottom of the groove.
15. The system according to claim 10 , configured to:
fit a predefined shape to a representation of the tread in the three-dimensional dataset, and
unwrap the predefined shape fitted to the representation of the tread, or data informative of said predefined shape, into a surface to generate a map informative of height profile of at least part of the tread.
16. A system comprising one or more processing circuitries configured to:
obtain a three-dimensional dataset informative of at least part of a tread of a tire,
fit a predefined shape to a representation of the tread in the three-dimensional dataset, and unwrap the predefined shape fitted to the representation of the tread, or data informative of said predefined shape, into a surface to generate a map informative of height profile of at least part of the tread.
17. The system of claim 16 , configured to use a relationship enabling unwrap of the predefined shape into a surface to generate the map informative of height profile of at least part of the tread.
18. The system of claim 16 , configured to:
perform a projection at least part of the three-dimensional dataset along a predefined axis, and
use said projection to fit a predefined shape to a representation of the tread in the three-dimensional dataset.
19. The system according to claim 16 , wherein the predefined shape includes a cylinder, or a toroid.
20. A system comprising one or more processing circuitries configured to:
obtain a three-dimensional dataset informative of at least part of a tread of a tire, wherein at least one image used to generate the three-dimensional dataset has been acquired by an imaging device from a first angle relative to a longitudinal direction perpendicular to a surface of the tread, and wherein the tire has been illuminated by an illumination device from a second angle relative to the horizontal direction, wherein the illumination device and the imaging device are positioned so as to have the first angle being smaller than the second angle, and
determine, using the three-dimensional dataset, data informative of tread depth of the tire.