The visibility--voronoi complex and its applications
The visibility--voronoi complex and its applications
Wein, Ron; van den Berg, Jur P.; Halperin, Dan
2005-06-06 00:00:00
The Visibility Voronoi Complex and Its Applications Ron Wein School of Computer Science Tel-Aviv University, Israel Jur P. van den Berg Institute of Information and Computing Sciences Utrecht University, The Netherlands Dan Halperin School of Computer Science Tel-Aviv University, Israel wein@tau.ac.il danha@tau.ac.il berg@cs.uu.nl ABSTRACT We introduce a new type of diagram called the VV -diagram (the Visibility Voronoi diagram for clearance c), which is a hybrid between the visibility graph and the Voronoi diagram of polygons in the plane. It evolves from the visibility graph to the Voronoi diagram as the parameter c grows from 0 to . This diagram can be used for planning natural-looking paths for a robot translating amidst polygonal obstacles in the plane. A natural-looking path is short, smooth, and keeps where possible an amount of clearance c from the obstacles. The VV(c) -diagram contains such paths. We also propose an algorithm that is capable of preprocessing a scene of con guration-space polygonal obstacles and constructs a data structure called the VV-complex. The VVcomplex can be used to e ciently plan motion paths for any start and goal con guration and any clearance value c, without having to explicitly construct the
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The visibility--voronoi complex and its applications
The Visibility Voronoi Complex and Its Applications Ron Wein School of Computer Science Tel-Aviv University, Israel Jur P. van den Berg Institute of Information and Computing Sciences Utrecht University, The Netherlands Dan Halperin School of Computer Science Tel-Aviv University, Israel wein@tau.ac.il danha@tau.ac.il berg@cs.uu.nl ABSTRACT We introduce a new type of diagram called the VV -diagram (the Visibility Voronoi diagram for clearance c), which is a hybrid between the visibility graph and the Voronoi diagram of polygons in the plane. It evolves from the visibility graph to the Voronoi diagram as the parameter c grows from 0 to . This diagram can be used for planning natural-looking paths for a robot translating amidst polygonal obstacles in the plane. A natural-looking path is short, smooth, and keeps where possible an amount of clearance c from the obstacles. The VV(c) -diagram contains such paths. We also propose an algorithm that is capable of preprocessing a scene of con guration-space polygonal obstacles and constructs a data structure called the VV-complex. The VVcomplex can be used to e ciently plan motion paths for any start and goal con guration and any clearance value c, without having to explicitly construct the
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