What it is |
What it is |
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Statistics to Collect - Early methods of statistical targeting would keep track of the average of a variable (typically firing angle) or have a log of positions. The variable method was very quick and simplistic, but not very accurate. Keeping track of a log of positions was more exact, but had the downside of large processor and memory consumption as the log grew. The typical approach to statistical targeting is using a VirtualGuns system in some form. Having an array of targeting systems which return a reccomended angle to shoot at. This array can either be complete targeting algorithms (HeadOnTargeting, LinearTargeting, CircularTargeting, PatternMatching, etc) or just simple firing angles. Each gun then is incremented based on their hit rate, so that when selecting a method you can choose the gun most likely to hit. |
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Statistics to Collect - Early methods of statistical targeting would keep track of the average of a variable (typically firing angle) or have a log of positions. The variable method was very quick and simplistic, but not very accurate. Keeping track of a log of positions was more exact, but had the downside of large processor and memory consumption as the log grew. The typical approach to statistical targeting is using a VirtualGuns system in some form. Having an array of targeting systems which return a recommended angle to shoot at. This array can either be complete targeting algorithms (HeadOnTargeting, LinearTargeting, CircularTargeting, PatternMatching, etc) or just simple firing angles. Each gun then is incremented based on their hit rate, so that when selecting a method you can choose the gun most likely to hit. |
Development |
Development |
GuessFactorTargeting |
GuessFactorTargeting |
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