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• W2016363173 abstract "Hierarchical tree representations are used for computing and representing distance maps in homogeneous or weighted 2D and 3D environments. It is shown that the matrix forms of quadtree and octree descriptions are proper for storing not only image or spatial data but also distance data. Distance maps are used in collision-free path planning in environments with static obstacles. The resulting sequences of free-region quadrants and octants enable to compute distance-optimized paths to the chosen resolution level. More illustrative examples are included and analyzed for 2D and 3D workspaces." @default.
• W2016363173 created "2016-06-24" @default.
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• W2016363173 date "2001-12-01" @default.
• W2016363173 modified "2023-10-11" @default.
• W2016363173 title "Low-cost implementation of distance maps for path planning using matrix quadtrees and octrees" @default.
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• W2016363173 doi "https://doi.org/10.1016/s0736-5845(01)00018-7" @default.
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