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View Code? Open in Web Editor NEWA particle filter based world model for the RoboCup environment
A particle filter based world model for the RoboCup environment
We need a filter for the local ball based on a Kalman Filter
Currently the ball is only selected based on its confidence. Incorporating the distance to the current ball position estimation might improve the selection.
When we switch to filtering in map frame (#15 ), we should switch to the odom frame when the localization is not available or not precise enough.
somewhere we should monitor the localization availability and precision and switch the filter frame accordingly.
We need to find a proper configuration for the simulation environment.
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