Image rendering method and related device

Abstract

The embodiment of the invention discloses an image rendering method and a related device, and the method comprises the steps: obtaining texture data corresponding to a particle road condition map, wherein the texture data comprises texel data corresponding to each road segment in the particle road condition map, the texel data is used for bearing the position data of a reference sampling point on the corresponding road segment, and the reference sampling point is obtained by sampling a particle motion track supported by a road section based on a reference frame rate; when each frame of picture of the particle road condition graph is rendered, aiming at each particle in the particle road condition graph, determining position data of the particle at an animation operation moment according to the animation operation moment corresponding to the picture and based on texel data corresponding to a road section to which the particle belongs in the texture data; and rendering the frame of picture in the particle road condition graph according to the position data of each particle in the particle road condition graph at the animation operation moment. The embodiment of the invention can be applied to the map field and the traffic field, the CPU calculation overhead can be reduced, and the rendering efficiency of the particle road condition graph is improved.

Description

technical field [0001] The present application relates to the field of maps, in particular to an image rendering method and related devices. Background technique [0002] The particle road map is a visualization scheme that simulates vehicles with dynamic particles and reflects road traffic conditions through the moving speed, moving direction, color and density of particles. In practical applications, if the particle traffic map is to achieve the effect of particle flow, it is necessary to continuously redraw the rendering of the particle traffic map at a certain frame rate, and update the position of the particles in each frame. [0003] In related technologies, before redrawing and rendering the picture of the particle road map, it is necessary to traverse all the particles in the particle road map, and perform geometric operations on all the particles, so as to determine the update position data of all particles in the next frame of the picture. [0004] In the face of ...

AI Technical Summary

Problems solved by technology

[0004] In the face of a large number of particles in the particle road map, the above position update calculation is performed before each rendering of the particle road map, which will bring a very large computational overhead to the central processing unit (CPU).

Moreover, the CPU also needs to transmit the updated position data of all the particles it calculates to the graphics processing unit (GPU), so that the GPU can render the next frame of the particle traffic map based on the updated position data of all particles. Due to the required transmission The amount of data is large, so the above data transmission process usually results in a long transmission time, which will also affect the rendering efficiency of the particle road map

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