G2-SDF: Geometry-Guided Neural Signed Distance Fields for Scalable and Detailed Reconstruction
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DOI: 10.1109/lra.2025.3585381
Abstract: Efficient reconstruction methods, particularly capable of providing detailed information on obstacle distances across diverse environments, are crucial for effective robot motion planning. In this context, neural Signed Distance Fields (SDFs) offer a powerful solution by… read more here.
Keywords: distance fields; neural signed; reconstruction; signed distance ... See more keywords