Point cloud data generation method and perception capability verification method of laser radar
The invention provides a point cloud data generation method and a perception capability verification method of a laser radar, and relates to the field of unmanned driving and unmanned vehicles. The point cloud data generation method comprises the following steps: placing a plurality of vertexes in a...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention provides a point cloud data generation method and a perception capability verification method of a laser radar, and relates to the field of unmanned driving and unmanned vehicles. The point cloud data generation method comprises the following steps: placing a plurality of vertexes in a target three-dimensional space region in a simulation environment; related data of the multiple vertexes are obtained, the related data of the multiple vertexes are transmitted to a graphics processor for operation, and the graphics processor is used for simulating noise in an actual dust raising environment based on the related data and a preset noise function to obtain a noise value of each vertex; on the basis of comparison between the noise value of each vertex and a preset threshold value, screening out visible vertexes in the plurality of vertexes; rendering corresponding drawing points based on the visible vertexes; and simulating the to-be-tested laser radar to sample the drawing points to obtain simulated |
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