Jordan McMichael e22d8cc343 [wpimath] Use Odometry for internal state in Pose Estimation (#4668) ...

This effectively replaces the Unscented Kalman Filter used for Pose Estimation with the Odometry model, and uses a recalculable Kalman gain matrix to update pose estimations whenever a vision measurement is added.

Notably, this change removes the need for the confusing generics used in Java, and the C++ implementation got quite a bit less complex as well.

Co-authored-by: Tyler Veness <calcmogul@gmail.com>

2022-12-02 08:36:10 -08:00

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src

[wpimath] Use Odometry for internal state in Pose Estimation (#4668)

2022-12-02 08:36:10 -08:00

build.gradle

[ntcore] NetworkTables 4 (#3217)

2022-10-08 10:01:31 -07:00

publish.gradle

Update to gradle 6.0 (#2074)

2019-11-12 17:14:04 -08:00