Road surface and automatic extraction method of marker lines thereof
An automatic extraction and marking line technology, applied in the field of data processing, can solve the problems of dependence and non-universal use, and achieve the effect of improved processing efficiency, less point cloud data, and convenient automatic extraction
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Embodiment 1
[0059] The technical solution provided by this embodiment can use existing technical means to realize automatic extraction of road surfaces and marking lines using computer language. The automatic extraction method flow of road surfaces and marking lines is as follows: figure 1 shown, including the following steps:
[0060] Step 1: Obtain road collection data from existing collection equipment, which can be mobile lidar data (which can be single-system data or multi-system data) from a mobile lidar collection system, or other existing data. Collect the collected data obtained in the equipment / system, use statistical filtering to eliminate outliers, and select road surface candidate points from the lidar data according to GNSS (all countries' satellite) trajectory data and elevation information;
[0061] The specific implementation of this step is as follows:
[0062] Step 1.1, build a k-d tree to index the neighborhood of each point cloud, and calculate the average distance ...
Embodiment 2
[0105] The difference between this embodiment and the first embodiment is that the Beidou satellite navigation system is used to obtain trajectory data and point cloud data.
Embodiment 3
[0107] The difference between this embodiment and the first embodiment is that, in the step of extracting the road surface, the height difference between the road surface and the edge of the road surface is defined. Road surface edges include, but are not limited to, roadside trees, floor tiles, blind roads, street lights, etc.
[0108] Each height difference corresponds to at least one preset width range of the road surface. In the process of road surface extraction, by calculating the height difference between the road surface and the road surface edge, the preset width range of the road surface corresponding to the height difference is extracted, and the difference between the preset width range of the road surface and the measured road surface edge is extracted. The distances between the two are compared, and when comparing, at least three points on the same road are compared. If the distance between the edges of the road surface is less than the preset width range of the...
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