3D track assessment apparatus and method
A 3D track assessment apparatus and method for identifying and assessing features of a railway track bed based on 3D elevation data gathered from the railway track bed.
1. A method of detecting features of a railway track bed using a system for assessing a railway track bed, the method comprising the steps of:
acquiring three-dimensional elevation data, via a sensor configured to sense reflected light from a railway track bed, wherein the three-dimensional elevation data is input to a processor;
generating a three-dimensional track elevation map based on the acquired three-dimensional elevation data;
defining a two-dimensional neighborhood configured to calculate a three-dimensional gradient measurement from the three-dimensional elevation data of the three-dimensional track elevation map;
detecting a particular railway track bed feature by sliding the two-dimensional neighborhood over at least a portion of the three-dimensional elevation data of the three-dimensional track elevation map and calculating three-dimensional gradient measurements on at least a portion of the three-dimensional elevation data located within the two-dimensional neighborhood.
2. The method of claim 1 , further comprising detecting a railway track bed feature by analyzing the calculated three-dimensional gradient measurement.
3. The method of claim 1 , further comprising detecting a railway track bed feature by comparing the calculated three-dimensional gradient measurement with a railroad track bed threshold value.
4. The method of claim 1 , further comprising defining a railway track bed feature search zone and detecting a railway track bed feature by sliding the two-dimensional neighborhood over the railway track bed feature search zone.
5. The method of claim 1 , further comprising removing rail head features from the calculated three-dimensional gradient.
6. The method of claim 1 , further comprising determining coordinates for the detected railway track bed feature.
7. The method of claim 1 , wherein the defined two-dimensional neighborhood is a rail head sliding neighborhood configured to detect a rail head edge.
8. The method of claim 1 , wherein the defined two-dimensional neighborhood is a rail base sliding neighborhood configured to detect a rail base.
9. The method of claim 1 , wherein the two-dimensional neighborhood is configured to eliminate targets corresponding to atypical vertical component conditions.
10. The method of claim 1 , wherein the detected railway track bed feature includes a feature selected from the group comprising rail head edges, rail base edges, rail base zones, rail base weld features, tie bounding box definitions, fastener systems, and anchors.
11. A method of detecting features of a railway track bed using a system for assessing a railway track bed, the method comprising the steps of:
acquiring three-dimensional elevation data, via a sensor configured to sense reflected light from a railway track bed, wherein the three-dimensional elevation data is input to a processor;
generating a three-dimensional track elevation map based on the acquired three-dimensional elevation data;
defining a neighborhood configured to calculate a three-dimensional gradient measurement from the three-dimensional elevation data of the three-dimensional track elevation map, wherein the neighborhood is specifically defined for a particular railway track bed feature; and
detecting the particular railway track bed feature by calculating three-dimensional gradient measurements on at least a portion of the three-dimensional elevation data located within the neighborhood.
12. The method of claim 11 , further comprising detecting the particular railway track bed feature by analyzing the calculated three-dimensional gradient measurement.
13. The method of claim 11 , further comprising detecting the particular railway track bed feature by comparing the calculated three-dimensional gradient measurement with a railroad track bed threshold value.
14. The method of claim 11 , further comprising defining a railway track bed feature search zone and detecting the particular railway track bed feature by sliding the neighborhood over the railway track bed feature search zone.
15. The method of claim 11 , further comprising removing rail head features from the calculated three-dimensional gradient.
16. The method of claim 11 , further comprising determining coordinates for the detected railway track bed feature.
17. The method of claim 11 , wherein the defined neighborhood is a rail head sliding neighborhood configured to detect a rail head edge.
18. The method of claim 11 , wherein the defined neighborhood is a rail base sliding neighborhood configured to detect a rail base.
19. The method of claim 11 , wherein the neighborhood is configured to eliminate targets corresponding to atypical vertical component conditions.
20. The method of claim 11 , wherein the detected railway track bed feature includes a feature selected from the group comprising rail head edges, rail base edges, rail base zones, rail base weld features, tie bounding box definitions, fastener systems, and anchors.
21. A system for assessing a railway track bed, the system comprising:
a power source;
a light emitting apparatus powered by the power source for emitting light energy toward a railway track bed;
a data storage apparatus in communication with at least one processor;
at least one sensor for sensing reflected light that was emitted from the light emitting apparatus and acquiring three-dimensional elevation data of the railway track bed to be stored in the data storage apparatus, wherein the at least one sensor is in communication with the at least one processor; and
wherein the at least one processor is configured to run an algorithm for processing three-dimensional elevation data gathered from the at least one sensor and saved in the data storage apparatus, the algorithm comprising the steps of:
generating a three-dimensional track elevation map based on the acquired three-dimensional elevation data;
defining a two-dimensional neighborhood configured to calculate a three-dimensional gradient measurement from the three-dimensional elevation data of the three-dimensional track elevation map;
detecting a railway track bed feature by sliding the two-dimensional neighborhood over at least a portion of the three-dimensional elevation data of the three-dimensional track elevation map and calculating three-dimensional gradient measurements on at least a portion of the three-dimensional elevation data located within the two-dimensional neighborhood.
22. The system of claim 21 , wherein the algorithm further comprises the step of detecting a railway track bed feature by analyzing the calculated three-dimensional gradient measurement.
23. The system of claim 21 , wherein the algorithm further comprises the step of detecting a railway track bed feature by comparing the calculated three-dimensional gradient measurement with a railroad track bed threshold value.
24. The system of claim 21 , wherein the algorithm further comprises the step of defining a railway track bed feature search zone and detecting a railway track bed feature by sliding the two-dimensional neighborhood over the railway track bed feature search zone.
25. The system of claim 21 , wherein the algorithm further comprises the step of removing rail head features from the calculated three-dimensional gradient.
26. A system for assessing a railway track bed, the system comprising:
a power source;
a light emitting apparatus powered by the power source for emitting light energy toward a railway track bed;
a data storage apparatus in communication with at least one processor;
at least one sensor for sensing reflected light that was emitted from the light emitting apparatus and acquiring three-dimensional elevation data of the railway track bed to be stored in the data storage apparatus, wherein the at least one sensor is in communication with the at least one processor; and
wherein the at least one processor is configured to run an algorithm for processing three-dimensional elevation data gathered from the at least one sensor and saved in the data storage apparatus, the algorithm comprising the steps of:
generating a three-dimensional track elevation map based on the acquired three-dimensional elevation data;
defining a neighborhood configured to calculate a three-dimensional gradient measurement from the three-dimensional elevation data of the three-dimensional track elevation map, wherein the neighborhood is specifically defined for a particular railway track bed feature; and
detecting the particular railway track bed feature by calculating three-dimensional gradient measurements on at least a portion of the three-dimensional elevation data located within the neighborhood.
27. The system of claim 26 , wherein the algorithm further comprises the step of detecting the particular railway track bed feature by analyzing the calculated three-dimensional gradient measurement.
28. The system of claim 26 , wherein the algorithm further comprises the step of detecting the particular railway track bed feature by comparing the calculated three-dimensional gradient measurement with a railroad track bed threshold value.
29. The system of claim 26 , wherein the algorithm further comprises the step of defining a railway track bed feature search zone and detecting the particular railway track bed feature by sliding the neighborhood over the railway track bed feature search zone.
30. The system of claim 26 , wherein the detected railway track bed feature includes a feature selected from the group comprising rail head edges, rail base edges, rail base zones, rail base weld features, tie bounding box definitions, fastener systems, and anchors.