Abstract: Systems, methods, and autonomous vehicles for detecting road marking points from LiDAR data may obtain a LiDAR dataset generated by a LiDAR system; process, for each laser emitter of the LiDAR system, a point cloud associated with that laser emitter by: determining, for each point in the point cloud, based on a gradient of intensity at that point, whether that point corresponds to a gradient edge point; and determining, based on intensities of points in an interior segment of points between at least one candidate pair of gradient edge points and intensities of points in exterior segments of points outside the at least one candidate pair of gradient edge points, whether that candidate pair of gradient edge points corresponds to a road marking edge; and aggregate, from the processing of the plurality of point clouds, candidate pairs of gradient edge points determined to correspond to road marking edges.

Abstract: Systems, methods, and autonomous vehicles for detecting road marking points from LiDAR data may obtain a LiDAR dataset generated by a LiDAR system; process, for each laser emitter of the LiDAR system, a point cloud associated with that laser emitter by: determining, for each point in the point cloud, based on a gradient of intensity at that point, whether that point corresponds to a gradient edge point; and determining, based on intensities of points in an interior segment of points between at least one candidate pair of gradient edge points and intensities of points in exterior segments of points outside the at least one candidate pair of gradient edge points, whether that candidate pair of gradient edge points corresponds to a road marking edge; and aggregate, from the processing of the plurality of point clouds, candidate pairs of gradient edge points determined to correspond to road marking edges.