Stealthy path planning against dynamic observers-Reference-Cited by-同舟云学术

Stealthy path planning against dynamic observers

Published:2022-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th ACM SIGGRAPH Conference on Motion, Interaction and Games
language:
Short-container-title:

Author:

Al Enezi Wael¹,Verbrugge Clark¹

Affiliation:

1. McGill University, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3561975.3562948

Reference19 articles.

1. Skeleton-based multi-agent opponent search

2. Alexander Borodovski and Clark Verbrugge . 2016 . Analyzing Stealth Games with Distractions. In Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2016). AAAI, 129–135. Alexander Borodovski and Clark Verbrugge. 2016. Analyzing Stealth Games with Distractions. In Twelfth Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE 2016). AAAI, 129–135.

3. Daniel Brewer . 2019. Tactical pathfinding on a navmesh . In Game AI Pro 360 . CRC Press , 25–32. Daniel Brewer. 2019. Tactical pathfinding on a navmesh. In Game AI Pro 360. CRC Press, 25–32.

4. Jorge Morales Díaz and Clark Verbrugge . 2019 . Solving the Take-Down and Body-Hiding Problems. In Experimental AI in Games: An AIIDE 2019 Workshop . Atlanta, Georgia, 1–7. Jorge Morales Díaz and Clark Verbrugge. 2019. Solving the Take-Down and Body-Hiding Problems. In Experimental AI in Games: An AIIDE 2019 Workshop. Atlanta, Georgia, 1–7.

5. R.J. Geraerts and Erik Schager. 2010. Stealth-based path planning using corridor maps. In Computer Animation and Social Agents. R.J. Geraerts and Erik Schager. 2010. Stealth-based path planning using corridor maps. In Computer Animation and Social Agents.