Watch Out! A Framework for Evaluating Steering Behaviors

Authors:
Shawn Singh;Mishali Naik;Mubbasir Kapadia;Petros Faloutsos;Glenn Reinman
Affiliations:
University of California, Los Angeles,;University of California, Los Angeles,;University of California, Los Angeles,;University of California, Los Angeles,;University of California, Los Angeles,
Venue:
Motion in Games
Year:
2008

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Abstract

Interactive virtual worlds feature dynamic characters that must navigate through a variety of landscapes populated with various obstacles and other agents. The process of navigating to a desired lo- cation within a dynamic environment is the problem of steering . While there are many approaches to steering, to our knowledge there is no standard way of evaluating and comparing the quality of such solutions. To address this, we propose a diverse set of benchmarks and a flexi- ble method of evaluation that can be used to compare different steering algorithms. We discuss the challenges and criteria for objectively eval- uating steering behaviors and describe the metrics and scoring method used in our benchmark evaluation. We hope that, with constructive feed- back from the community, our framework will eventually evolve into a standard and comprehensive approach to debug, compare and provide an overall assessment of the effectiveness of steering algorithms.