Real-time autonomous pedestrian navigation with groups

  • Authors:
  • Zhihong Wang;James Cremer

  • Affiliations:
  • The University of Iowa, Iowa City, IA;The University of Iowa, Iowa City, IA

  • Venue:
  • GVE '07 Proceedings of the IASTED International Conference on Graphics and Visualization in Engineering
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

Much research on modeling pedestrians has focused either on individual navigation and control or on simulating large crowds composed of many individuals. But many pedestrians travel in small groups of two to five or a few more. This paper describes improved real-time pedestrian behaviors that include support for small groups. We present our model for autonomous navigation of individuals, and then extend it to support small groups. We demonstrate our approach by using it to drive a commercial motion generation engine that produces high quality pedestrian animation.