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262,144 grid cells represent a 2D pathfinding problem with 30% obstacle density and a random speed field. The dataset was created by Francisco Angulo de Lafuente to benchmark GPU-accelerated navigation algorithms, specifically the Optical Neuromorphic Eikonal Solver. The solver achieves a 135x average speedup over CPU Dijkstra with sub-1% accuracy.
License is CC BY 4.0, requiring attribution.