Level Annotation and Test by Autonomous Exploration

Abstract

This paper proposes the use of an autonomous exploring agent to generate and annotate the waypoint graph as an offline process during level development. The explorer incrementally generates the waypoint graph as it explores the level via the same motion model used for player movement, and then revisits the waypoints to annotate them using image-based techniques. Points where the explorer becomes stuck or falls off of the level are flagged for later investigation by a level designer.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2007
Accession Number
ADA575042

Entities

People

  • Christian J. Darken

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Artificial Intelligence
  • Brightness
  • Computational Science
  • Computations
  • Computer Science
  • Computer Vision
  • Computers
  • Demographic Cohorts
  • Detection
  • Observers
  • Ray Tracing
  • Simulations
  • Target Acquisition
  • Target Detection
  • Video Games

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Robotics and Automation.