The visibility-Voronoi complex and its applications

  • Authors:
  • Ron Wein;Jur P. van den Berg;Dan Halperin

  • Affiliations:
  • School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel;Institute of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands;School of Computer Science, Tel-Aviv University, Tel-Aviv, Israel

  • Venue:
  • Computational Geometry: Theory and Applications - Special issue on the 21st European workshop on computational geometry (EWCG 2005)
  • Year:
  • 2007

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Abstract

We introduce a new type of diagram called the VV(c)-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 configuration-space polygonal obstacles and constructs a data structure called the VV-complex. The VV-complex can be used to efficiently plan motion paths for any start and goal configuration and any clearance value c, without having to explicitly construct the VV(c)-diagram for that c-value. The preprocessing time is O(n2 logn), where n is the total number of obstacle vertices, and the data structure can be queried directly for any c-value by merely performing a Dijkstra search. We have implemented a CGAL-based software package for computing the VV(c)-diagram in an exact manner for a given clearance value and used it to plan natural-looking paths in various applications.