Terrain Occlusion Using Binary Adaptive Ray Casting
نویسنده
چکیده
Mission planners can benefit from determining regions of space occluded by terrain from sensor positions, e.g. in order to determine ingress and egress paths. Conventional approaches to computing occlusion using 2D or 2.5D representations of terrain are inefficient and do not scale well. Binary Adaptive Ray Casting uses intersection calculations accelerated by 3D hierarchical bounding volumes to perform adaptive interval probing. Candidate regions of dead ground are tested against a required tolerance for “shallowness” caused by grazing rays. The approach can be scaled arbitrarily on a cache-coherent non-uniform memory architecture to compute occluded terrain in near real-time.
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