Efficient Ground Vehicle Path Following in Game AI
This short paper presents an efficient path following solution for ground vehicles tailored to game AI. Our focus is on adapting established techniques to design simple solutions with parameters that are easily tunable for an efficient benchmark path follower. Our solution pays particular attention...
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| creator | de Schaetzen, Rodrigue Sestini, Alessandro |
| description | This short paper presents an efficient path following solution for ground
vehicles tailored to game AI. Our focus is on adapting established techniques
to design simple solutions with parameters that are easily tunable for an
efficient benchmark path follower. Our solution pays particular attention to
computing a target speed which uses quadratic Bezier curves to estimate the
path curvature. The performance of the proposed path follower is evaluated
through a variety of test scenarios in a first-person shooter game,
demonstrating its effectiveness and robustness in handling different types of
paths and vehicles. We achieved a 70% decrease in the total number of stuck
events compared to an existing path following solution. |
| doi_str_mv | 10.48550/arxiv.2307.03379 |
| format | Article |
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vehicles tailored to game AI. Our focus is on adapting established techniques
to design simple solutions with parameters that are easily tunable for an
efficient benchmark path follower. Our solution pays particular attention to
computing a target speed which uses quadratic Bezier curves to estimate the
path curvature. The performance of the proposed path follower is evaluated
through a variety of test scenarios in a first-person shooter game,
demonstrating its effectiveness and robustness in handling different types of
paths and vehicles. We achieved a 70% decrease in the total number of stuck
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vehicles tailored to game AI. Our focus is on adapting established techniques
to design simple solutions with parameters that are easily tunable for an
efficient benchmark path follower. Our solution pays particular attention to
computing a target speed which uses quadratic Bezier curves to estimate the
path curvature. The performance of the proposed path follower is evaluated
through a variety of test scenarios in a first-person shooter game,
demonstrating its effectiveness and robustness in handling different types of
paths and vehicles. We achieved a 70% decrease in the total number of stuck
events compared to an existing path following solution.</description><subject>Computer Science - Artificial Intelligence</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotzr1uwjAUhmEvHRDlApjqG0h64pPEx2MUQYqEBANijWzHLpZCggIFevf8Lt-7fXoYmyYQp5Rl8K2HazjHAkHGgCjViImZ98EG1514NfR_XcO3bhds6_han3Z83rdtfwndLw8dr_Te8WLxyT68bo9u8u6YbeazTfkTLVfVoiyWkc6liiSBS4zxaaIoRzBZ7q0HaxshtCIiBZbIIIG3CtJGJ84p4bGRBsHeB8fs63X7RNeHIez18F8_8PUTjzcqnD2x</recordid><startdate>20230707</startdate><enddate>20230707</enddate><creator>de Schaetzen, Rodrigue</creator><creator>Sestini, Alessandro</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20230707</creationdate><title>Efficient Ground Vehicle Path Following in Game AI</title><author>de Schaetzen, Rodrigue ; Sestini, Alessandro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a679-780e1bbf4198630b56fcf0ccd22a988890c88b380fc904da1ee92f3d7b30c7b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Computer Science - Artificial Intelligence</topic><toplevel>online_resources</toplevel><creatorcontrib>de Schaetzen, Rodrigue</creatorcontrib><creatorcontrib>Sestini, Alessandro</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Schaetzen, Rodrigue</au><au>Sestini, Alessandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Efficient Ground Vehicle Path Following in Game AI</atitle><date>2023-07-07</date><risdate>2023</risdate><abstract>This short paper presents an efficient path following solution for ground
vehicles tailored to game AI. Our focus is on adapting established techniques
to design simple solutions with parameters that are easily tunable for an
efficient benchmark path follower. Our solution pays particular attention to
computing a target speed which uses quadratic Bezier curves to estimate the
path curvature. The performance of the proposed path follower is evaluated
through a variety of test scenarios in a first-person shooter game,
demonstrating its effectiveness and robustness in handling different types of
paths and vehicles. We achieved a 70% decrease in the total number of stuck
events compared to an existing path following solution.</abstract><doi>10.48550/arxiv.2307.03379</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Artificial Intelligence |
| title | Efficient Ground Vehicle Path Following in Game AI |
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