What is it about?
A probabilistic surface normal vector estimator is proposed using 2D/3D occupancy grid
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Why is it important?
A computationally efficient and scalable probabilistic framework is presented. Also usage of generic occupancy grid mapping algorithm enables ease implementation and sharing mapping results for other important algorithms for robots.
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This page is a summary of: An efficient probabilistic surface normal estimator, May 2016, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icra.2016.7487373.
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