Deceptive Topographic Path Planning
Author:
Affiliation:
1. , Graduate Program in Computer Science, UFSM, Brazil
2. , Undergraduate Course in Computer Science, UFSM, Brazil
3. , School of Technology, PUCRS, Brazil
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3631085.3631334
Reference30 articles.
1. Zeyad Abd Algfoor, Mohd Shahrizal Sunar, and Hoshang Kolivand. 2015. A Comprehensive Study on Pathfinding Techniques for Robotics and Video Games. International Journal of Computer Games Technology 2015 (04 2015), 1–11.
2. ASF DAAC. 2015. PALSAR_Radiometric_Terrain_Corrected_high_res. NASA Alaska Satellite Facility DAAC.
3. Amirhossein Asgharnia, Howard M. Schwartz, and Mohamed Atia. 2020. Deception in A Multi-agent Adversarial Game: The Game of Guarding Several Territories. In 2020 IEEE Symposium Series on Computational Intelligence. 1321–1327.
4. Coevolving influence maps for spatial team tactics in a RTS game
5. Path-length analysis for grid-based path planning
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