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A 65,536-cell grid dataset for benchmarking GPU-accelerated navigation algorithms. It was created by Francisco Angulo de Lafuente to evaluate the Optical Neuromorphic Eikonal Solver, which reportedly achieves a 135x average speedup over CPU Dijkstra. The dataset models a 2D pathfinding problem with 20% obstacle density and a gradient speed field.
License is CC BY 4.0, requiring attribution.