• Corpus ID: 13890654

A framework for real-time nonholonomic path planning in huge terrain datasets

@inproceedings{Guthe2005AFF,
  title={A framework for real-time nonholonomic path planning in huge terrain datasets},
  author={Michael Guthe and R. Klein},
  year={2005}
}
When users navigate through a terrain dataset, they typically control the camera directly. However, such control is difficult and often results in rather unsteady camera motions that can easily cause motion sickness, especially in virtual reality. In this paper we describe a new technique for automatic generation of a camera motion path using nonholonomic motion planning techniques. Using our approach, the user simply specifies an object of interest, e.g. on a map or from a list of landmarks… 

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