| predict(Matrix) |   | 66% | | 25% | 2 | 3 | 4 | 12 | 0 | 1 |
| KalmanFilter(int, int, int) | | 96% | | 100% | 0 | 6 | 2 | 35 | 0 | 1 |
| correct(Matrix) | | 93% | | n/a | 0 | 1 | 2 | 18 | 0 | 1 |
| setMeasureParameters(int) | | 93% | | 100% | 0 | 2 | 2 | 16 | 0 | 1 |
| setControlMatrix(Matrix) | | 85% | | 75% | 2 | 5 | 1 | 6 | 0 | 1 |
| setProcessNoiseCov(Matrix) | | 100% | | 100% | 0 | 4 | 0 | 5 | 0 | 1 |
| setMeasurementNoiseCov(Matrix) | | 100% | | 100% | 0 | 4 | 0 | 5 | 0 | 1 |
| setErrorCovPre(Matrix) | | 100% | | 100% | 0 | 4 | 0 | 4 | 0 | 1 |
| setErrorCovPost(Matrix) | | 100% | | 100% | 0 | 4 | 0 | 4 | 0 | 1 |
| setGain(Matrix) | | 100% | | 100% | 0 | 3 | 0 | 4 | 0 | 1 |
| setTransitionMatrix(Matrix) | | 100% | | 100% | 0 | 3 | 0 | 4 | 0 | 1 |
| setMeasurementMatrix(Matrix) | | 100% | | 100% | 0 | 3 | 0 | 4 | 0 | 1 |
| setStatePre(Matrix) | | 100% | | 100% | 0 | 3 | 0 | 4 | 0 | 1 |
| setStatePost(Matrix) | | 100% | | 100% | 0 | 3 | 0 | 4 | 0 | 1 |
| KalmanFilter(int, int) | | 100% | | n/a | 0 | 1 | 0 | 2 | 0 | 1 |
| predict() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMeasureParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getDynamicParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getControlParameters() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getStatePre() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getStatePost() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getTransitionMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getControlMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMeasurementMatrix() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getProcessNoiseCov() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getMeasurementNoiseCov() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getErrorCovPre() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getGain() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |
| getErrorCovPost() | | 100% | | n/a | 0 | 1 | 0 | 1 | 0 | 1 |