Shows the different fields visualized.
4096 agents on a 256x256 grid.
0:05 map overlay and discomfort field (infinite walls in white, low discomfort in red)
0:15 density field (low density in red, high density in blue)
0:22 average velocity direction. Color and arrows indicate direction.
0:37 anisotropic speed field (values for each of the four directions north, east, south, west)
1:02 anisotropic cost field
1:17 potential field (zero potential at goal areas, potential increasing outwards over domain)
1:43 gradient direction field (color coded, and later arrow overlay, nearest neighbor and bilinear filtering (as used by agents during movement update))
The agents move against these gradients to their destinations.
More info here
helmutduregger.wordpress.com/2011/11/21/simulation-of-large-and-dense-crowds-on-the-gpu-using-opencl/