Combining Influence Maps and Potential Fields for AI Pathfinding
This thesis explores the combination of influence maps and potential fields in two novel pathfinding algorithms, IM+PF and IM/PF, that allows AI agents to intelligently navigate an environment. The novel algorithms are compared to two established pathfinding algorithms, A* and A*+PF, in the real-tim...
| Main Authors: | , |
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| Format: | Others |
| Language: | English |
| Published: |
Blekinge Tekniska Högskola, Institutionen för datavetenskap
2019
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| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18228 |