Computing emission rate from gas density images
US-2024420311-A1 · Dec 19, 2024 · US
US2025035789A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025035789-A1 |
| Application number | US-202418780474-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jul 23, 2024 |
| Priority date | Jul 25, 2023 |
| Publication date | Jan 30, 2025 |
| Grant date | — |
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Embodiments of this application disclose a method, device, storage medium, and LiDAR for LiDAR detection. The method includes: obtaining point cloud data corresponding to an i−1th ground line and point cloud data corresponding to an i−2th ground line; calculating a predicted height range of the ith ground line based on the point cloud data corresponding to the i−1th ground line and the point cloud data corresponding to the i−2th ground line; detecting a scanning points on the ith row of the scanning line based on the predicted height range to determine a target point in the scanning points; and obtaining the ith ground line based on the target point.
Opening claim text (preview).
What is claimed is: 1 . A LiDAR detection method, comprising: obtaining point cloud data corresponding to an i−1 th ground line and point cloud data corresponding to an i−2 th ground line, wherein i is an integer greater than or equal to 3; calculating a predicted height range of an i th ground line based on the point cloud data corresponding to the i−1 th ground line and the point cloud data corresponding to the i−2 th ground line; determining a target point in scanning points by detecting a scanning point of an i th row of a scanning line based on the predicted height range; and obtaining the i th ground line based on the target point, wherein a distance between the ground line and the LiDAR increases from the i−2 th ground line, to the i−1 th ground line, and to the i th ground line. 2 . The LiDAR detection method according to claim 1 , wherein the calculating the predicted height range of the i th ground line based on the point cloud data corresponding to the i−1 th ground line and the point cloud data corresponding to the i−2 th ground line comprises: traversing a scanning point of the i−1 th ground line and a scanning point of the i−2 th ground line to obtain K pairs of points, wherein one pair of points comprises a first reference point and a second reference point, the first reference point is a scanning point of the i−1 th ground line, the second reference point is a scanning point of the i−2 th ground line, and a difference between pitch angles of the first reference point and the second reference point is less than or equal to a threshold, wherein K is a positive integer; and based on heights of the first reference point and the second reference point in the pairs of points, calculating a predicted height range of a first scanning point, wherein the first scanning point is a scanning point of the i th row of the scanning line, and pitch angle differences of the K pairs of points are less than or equal to the threshold, and a scanning point of the i th row of the scanning line other than the first scanning point is a second scanning point; and based on the predicted height range of the first scanning point, calculating a predicted height range of the second scanning point. 3 . The LiDAR detection method according to claim 2 , wherein based on heights of the first reference point and the second reference point in the pairs of points, the calculating a predicted height range of a first scanning point comprises: obtaining a height fluctuation value of K first reference points in the K pairs of points and a gradient value of a point pair corresponding to the first scanning point; and based on the height fluctuation value and the gradient value, calculating the predicted height range of the first scanning point. 4 . The LiDAR detection method according to claim 2 , wherein based on the predicted height range of the first scanning point, the calculating a predicted height range of the second scanning point comprises: determining at least two first scanning points adjacent to the second scanning point on the i th row of the scanning line; and based on the predicted height ranges of the at least two first scanning points adjacent to the second scanning point, calculating the predicted height range of the second scanning point. 5 . The LiDAR detection method according to claim 1 , wherein the determining a target point in scanning points by detecting a scanning point of an i th row of a scanning line based on the predicted height range comprises: obtaining heights of a plurality of scanning points in a neighborhood window with a scanning point Si,j as a center, wherein j is a positive integer and less than or equal to a total number of the scanning points on the i th row of the scanning line; comparing the heights of the plurality of scanning points in the neighborhood window with the predicted height range of the scanning point Si,j to determine whether the scanning point Si,j is a ground point; and when the scanning point is the ground point, determining the scanning point as the target point. 6 . The LiDAR detection method according to claim 5 , wherein the comparing the heights of the plurality of scanning points in the neighborhood window with the predicted height range of the scanning point Si,j to determine whether the scanning point Si,j is a ground point, comprises: determining the scanning point Si,j as the ground point, when the height of the scanning point Si,j is within the predicted height range of the scanning point Si,j, and a quantity of the plurality of scanning points in the neighborhood window whose heights are within the predicted height range of the scanning point Si,j is greater than a first threshold; and determining the scanning point Si,j as the ground point, when the height of the scanning point Si,j is not within the predicted height range of the scanning point Si,j and a quantity of the plurality of scanning points in the neighborhood window whose heights are within the predicted height range of the scanning point Si,j is greater than a second threshold. 7 . The LiDAR detection method according to claim 1 , wherein the obtaining the i th ground line based on the target point comprises: performing fitting on the target point Si,q to obtain a fitted height, wherein q is a positive integer and less than or equal to a total number of the target points on the i th row of the scanning line; and obtaining the i th ground line based on the fitted height. 8 . The LiDAR detection method according to claim 7 , wherein after performing fitting on the target point Si,q to obtain a fitted height, the method further comprises: based on the fitted height of the target point Si,q, determining a fitted height range of the scanning point of the i th row of the scanning line; and using the fitted height range of the scanning point of the i th row of the scanning line as the predicted height range and counting, and returning to perform the step of detecting the scanning point of the i th row of the scanning line based on the predicted height range and determining the target point in the scanning point until a value of the counting is greater than a preset number. 9 . The LiDAR detection method according to claim 8 , wherein the based on the fitted height of the target point Si,q, determining a fitted height range of the scanning point of the i th row of the scanning line comprises: obtaining fitted heights of a plurality of target points in a neighborhood window with the target point Si,q as a center; and based on the fitted heights of the plurality of target points in the neighborhood window, obtaining a height fluctuation value of the fitted heights, and determining a fitted height range of the target point Si,q, and determining a fitted height range of a non-target point Si,p, wherein the non-target point is a scanning point on the i th row of the scanning line other than the target point, p is a positive integer, and a sum of q and p is the total number of the scanning points on the i th row of the scanning line. 10 . The LiDAR detection method according to claim 7 , wherein the performing fitting on the target point Si,q to obtain the fitted height comprises: obtaining heights of a plurality of target points in a neighborhood window with the target point Si,q as a center; and performing linear fitting based on the heights of the plurality of target points in the neighborhood window to obtain the fitted height of the target point Si,q. 11 . A LiDAR detection device, comprising: a data obtaining module, configured to obtain point cloud data corresponding to an i−1 th ground line and point cloud data corresp
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