Reformulates RkNN queries as graphics ray casting to leverage GPU ray-tracing cores, claiming better performance than prior methods in challenging spatial database scenarios.
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3 Pith papers cite this work. Polarity classification is still indexing.
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GRCA uses emitter-centric geometric culling of rays per triangle to accelerate LiDAR simulation in arbitrarily dynamic scenes, reporting up to 14.55x speedup over Embree and 7.97x over OptiX.
Scion is a new DSL and compiler that decouples BVH data layouts from traversal algorithms, enabling architecture-agnostic layout optimizations and a novel Pareto-optimal ray tracing layout.
citing papers explorer
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RT-RkNN: Reverse k Nearest Neighbor Queries as a Graphics Ray Casting Problem
Reformulates RkNN queries as graphics ray casting to leverage GPU ray-tracing cores, claiming better performance than prior methods in challenging spatial database scenarios.
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Geometrically Approximated Modeling for Emitter-Centric Ray-Triangle Filtering in Arbitrarily Dynamic LiDAR Simulation
GRCA uses emitter-centric geometric culling of rays per triangle to accelerate LiDAR simulation in arbitrarily dynamic scenes, reporting up to 14.55x speedup over Embree and 7.97x over OptiX.
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Decoupling Data Layouts from Bounding Volume Hierarchies
Scion is a new DSL and compiler that decouples BVH data layouts from traversal algorithms, enabling architecture-agnostic layout optimizations and a novel Pareto-optimal ray tracing layout.