From 9c37cf39a9c186c2fd98db798c0a5f96ac975c5d Mon Sep 17 00:00:00 2001 From: Stanislaw Halik Date: Sun, 31 Jul 2016 17:50:54 +0200 Subject: filter/kalman: rename header only In Qt Creator I can jump between header and source if only they have the same base name. --- filter-kalman/kalman.h | 146 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 146 insertions(+) create mode 100644 filter-kalman/kalman.h (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h new file mode 100644 index 00000000..623fa7d9 --- /dev/null +++ b/filter-kalman/kalman.h @@ -0,0 +1,146 @@ +#pragma once +/* Copyright (c) 2013 Stanislaw Halik + * + * Permission to use, copy, modify, and/or distribute this software for any + * purpose with or without fee is hereby granted, provided that the above + * copyright notice and this permission notice appear in all copies. + */ +#ifndef INCLUDED_FTN_FILTER_H +#define INCLUDED_FTN_FILTER_H + +#include "ui_ftnoir_kalman_filtercontrols.h" +#include "opentrack/plugin-api.hpp" + +#include +#include +#include + +#include +#include + +#include "opentrack-compat/options.hpp" +using namespace options; +#include "opentrack-compat/timer.hpp" + + +static constexpr int NUM_STATE_DOF = 12; +static constexpr int NUM_MEASUREMENT_DOF = 6; +using Matrix = Eigen::MatrixXd; // variable size, heap allocated, double valued +// These vectors are compile time fixed size, stack allocated +using StateVector = Eigen::Matrix; +using PoseVector = Eigen::Matrix; + +struct KalmanFilter +{ + Matrix + measurement_noise_cov, + process_noise_cov, + state_cov, + state_cov_prior, + kalman_gain, + transition_matrix, + measurement_matrix; + StateVector + state, + state_prior; + PoseVector + innovation; + void init(); + void time_update(); + void measurement_update(const PoseVector &measurement); +}; + +struct KalmanProcessNoiseScaler +{ + Matrix + innovation_cov_estimate, + base_cov; // baseline (unscaled) process noise covariance matrix + void init(); + void update(KalmanFilter &kf, double dt); +}; + + +struct DeadzoneFilter +{ + PoseVector + last_output, + dz_size; + DeadzoneFilter() : + last_output(PoseVector::Zero()), + dz_size(PoseVector::Zero()) + {} + void reset() { + last_output = PoseVector::Zero(); + } + PoseVector filter(const PoseVector &input); +}; + + +struct settings : opts { + value noise_rot_slider_value; + value noise_pos_slider_value; + + static constexpr double adaptivity_window_length = 0.5; // seconds + static constexpr double deadzone_scale = 2.; + static constexpr double deadzone_exponent = 4.0; + // these values worked best for me (MW) when taken with acompanying measured noise stddev of ca 0.1 (rot) and 0.01 (pos). + static constexpr double process_sigma_pos = 0.05; + static constexpr double process_simga_rot = 0.5; + + static double map_slider_value(int v) + { + return std::pow(10., v * 0.04 - 3.); + } + + settings() : + opts("kalman-filter"), + noise_rot_slider_value(b, "noise-rotation-slider", 40), + noise_pos_slider_value(b, "noise-position-slider", 40) + {} + +}; + +class FTNoIR_Filter : public IFilter +{ + PoseVector do_kalman_filter(const PoseVector &input, double dt, bool new_input); + void fill_transition_matrix(double dt); + void fill_process_noise_cov_matrix(Matrix &target, double dt) const; +public: + FTNoIR_Filter(); + void reset(); + void filter(const double *input, double *output); + PoseVector last_input; + Timer timer; + bool first_run; + double dt_since_last_input; + settings s; + KalmanFilter kf; + KalmanProcessNoiseScaler kf_adaptive_process_noise_cov; + PoseVector minimal_state_var; + DeadzoneFilter dz_filter; + int prev_slider_pos[2]; +}; + +class FTNoIR_FilterDll : public Metadata +{ +public: + QString name() { return QString("Kalman"); } + QIcon icon() { return QIcon(":/images/filter-16.png"); } +}; + +class FilterControls: public IFilterDialog +{ + Q_OBJECT +public: + FilterControls(); + Ui::KalmanUICFilterControls ui; + void register_filter(IFilter*) override {} + void unregister_filter() override {} + settings s; + FTNoIR_Filter *filter; +public slots: + void doOK(); + void doCancel(); +}; + +#endif -- cgit v1.2.3 From b811a94194990b004196f0dbf0741079da6d34fb Mon Sep 17 00:00:00 2001 From: Stanislaw Halik Date: Sun, 31 Jul 2016 17:54:38 +0200 Subject: filter/kalman: ensure data members are aligned What a PITA. --- filter-kalman/kalman.h | 29 ++++++++++++++++------------- 1 file changed, 16 insertions(+), 13 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index 623fa7d9..3a5488f8 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -5,23 +5,20 @@ * purpose with or without fee is hereby granted, provided that the above * copyright notice and this permission notice appear in all copies. */ -#ifndef INCLUDED_FTN_FILTER_H -#define INCLUDED_FTN_FILTER_H #include "ui_ftnoir_kalman_filtercontrols.h" #include "opentrack/plugin-api.hpp" +#include "opentrack-compat/options.hpp" +using namespace options; +#include "opentrack-compat/timer.hpp" -#include #include #include #include #include -#include "opentrack-compat/options.hpp" -using namespace options; -#include "opentrack-compat/timer.hpp" - +#include static constexpr int NUM_STATE_DOF = 12; static constexpr int NUM_MEASUREMENT_DOF = 6; @@ -48,6 +45,8 @@ struct KalmanFilter void init(); void time_update(); void measurement_update(const PoseVector &measurement); + + EIGEN_MAKE_ALIGNED_OPERATOR_NEW }; struct KalmanProcessNoiseScaler @@ -57,6 +56,8 @@ struct KalmanProcessNoiseScaler base_cov; // baseline (unscaled) process noise covariance matrix void init(); void update(KalmanFilter &kf, double dt); + + EIGEN_MAKE_ALIGNED_OPERATOR_NEW }; @@ -73,6 +74,8 @@ struct DeadzoneFilter last_output = PoseVector::Zero(); } PoseVector filter(const PoseVector &input); + + EIGEN_MAKE_ALIGNED_OPERATOR_NEW }; @@ -83,7 +86,7 @@ struct settings : opts { static constexpr double adaptivity_window_length = 0.5; // seconds static constexpr double deadzone_scale = 2.; static constexpr double deadzone_exponent = 4.0; - // these values worked best for me (MW) when taken with acompanying measured noise stddev of ca 0.1 (rot) and 0.01 (pos). + // these values worked best for me (MW) when taken with acompanying measured noise stddev of ca 0.1 (rot) and 0.01 (pos). static constexpr double process_sigma_pos = 0.05; static constexpr double process_simga_rot = 0.5; @@ -92,9 +95,9 @@ struct settings : opts { return std::pow(10., v * 0.04 - 3.); } - settings() : - opts("kalman-filter"), - noise_rot_slider_value(b, "noise-rotation-slider", 40), + settings() : + opts("kalman-filter"), + noise_rot_slider_value(b, "noise-rotation-slider", 40), noise_pos_slider_value(b, "noise-position-slider", 40) {} @@ -119,6 +122,8 @@ public: PoseVector minimal_state_var; DeadzoneFilter dz_filter; int prev_slider_pos[2]; + + EIGEN_MAKE_ALIGNED_OPERATOR_NEW }; class FTNoIR_FilterDll : public Metadata @@ -142,5 +147,3 @@ public slots: void doOK(); void doCancel(); }; - -#endif -- cgit v1.2.3 From 4c0f65a9ae72fe0b2277ff704cc7f46c2467d97f Mon Sep 17 00:00:00 2001 From: DaMichel Date: Tue, 2 Aug 2016 10:58:27 +0200 Subject: filter/kalman: use fixed size matrices --- filter-kalman/kalman.cpp | 28 +++++++++++++--------------- filter-kalman/kalman.h | 23 +++++++++++++++-------- 2 files changed, 28 insertions(+), 23 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.cpp b/filter-kalman/kalman.cpp index 7e2050b0..804d15da 100644 --- a/filter-kalman/kalman.cpp +++ b/filter-kalman/kalman.cpp @@ -16,16 +16,14 @@ constexpr double settings::process_simga_rot; void KalmanFilter::init() { - static constexpr int NS = NUM_STATE_DOF; - static constexpr int NZ = NUM_MEASUREMENT_DOF; // allocate and initialize matrices - measurement_noise_cov = Matrix::Zero(NZ, NZ); - process_noise_cov = Matrix::Zero(NS, NS); - kalman_gain = Matrix::Zero(NS, NZ); - measurement_matrix = Matrix::Zero(NZ, NS); - state_cov = Matrix::Zero(NS, NS); - state_cov_prior = Matrix::Zero(NS, NS); - transition_matrix = Matrix::Zero(NS, NS); + measurement_noise_cov = MeasureMatrix::Zero(); + process_noise_cov = StateMatrix::Zero(); + state_cov = StateMatrix::Zero(); + state_cov_prior = StateMatrix::Zero(); + transition_matrix = StateMatrix::Zero(); + measurement_matrix = StateToMeasureMatrix::Zero(); + kalman_gain = MeasureToStateMatrix::Zero(); // initialize state variables state = StateVector::Zero(); state_prior = StateVector::Zero(); @@ -42,8 +40,8 @@ void KalmanFilter::time_update() void KalmanFilter::measurement_update(const PoseVector &measurement) { - Matrix tmp = measurement_matrix * state_cov_prior * measurement_matrix.transpose() + measurement_noise_cov; - Matrix tmp_inv = tmp.inverse(); + MeasureMatrix tmp = measurement_matrix * state_cov_prior * measurement_matrix.transpose() + measurement_noise_cov; + MeasureMatrix tmp_inv = tmp.inverse(); kalman_gain = state_cov_prior * measurement_matrix.transpose() * tmp_inv; innovation = measurement - measurement_matrix * state_prior; state = state_prior + kalman_gain * innovation; @@ -54,8 +52,8 @@ void KalmanFilter::measurement_update(const PoseVector &measurement) void KalmanProcessNoiseScaler::init() { - base_cov = Matrix::Zero(NUM_STATE_DOF, NUM_STATE_DOF); - innovation_cov_estimate = Matrix::Zero(NUM_MEASUREMENT_DOF, NUM_MEASUREMENT_DOF); + base_cov = StateMatrix::Zero(NUM_STATE_DOF, NUM_STATE_DOF); + innovation_cov_estimate = MeasureMatrix::Zero(NUM_MEASUREMENT_DOF, NUM_MEASUREMENT_DOF); } @@ -66,7 +64,7 @@ void KalmanProcessNoiseScaler::init() */ void KalmanProcessNoiseScaler::update(KalmanFilter &kf, double dt) { - Matrix ddT = kf.innovation * kf.innovation.transpose(); + MeasureMatrix ddT = kf.innovation * kf.innovation.transpose(); double f = dt / (dt + settings::adaptivity_window_length); innovation_cov_estimate = f * ddT + (1. - f) * innovation_cov_estimate; @@ -114,7 +112,7 @@ void FTNoIR_Filter::fill_transition_matrix(double dt) } } -void FTNoIR_Filter::fill_process_noise_cov_matrix(Matrix &target, double dt) const +void FTNoIR_Filter::fill_process_noise_cov_matrix(StateMatrix &target, double dt) const { // This model is like movement at fixed velocity plus superimposed // brownian motion. Unlike standard models for tracking of objects diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index 3a5488f8..a9771b8e 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -22,20 +22,26 @@ using namespace options; static constexpr int NUM_STATE_DOF = 12; static constexpr int NUM_MEASUREMENT_DOF = 6; -using Matrix = Eigen::MatrixXd; // variable size, heap allocated, double valued // These vectors are compile time fixed size, stack allocated +using StateToMeasureMatrix = Eigen::Matrix; +using StateMatrix = Eigen::Matrix; +using MeasureToStateMatrix = Eigen::Matrix; +using MeasureMatrix = Eigen::Matrix; using StateVector = Eigen::Matrix; using PoseVector = Eigen::Matrix; struct KalmanFilter { - Matrix - measurement_noise_cov, + MeasureMatrix + measurement_noise_cov; + StateMatrix process_noise_cov, state_cov, state_cov_prior, - kalman_gain, - transition_matrix, + transition_matrix; + MeasureToStateMatrix + kalman_gain; + StateToMeasureMatrix measurement_matrix; StateVector state, @@ -51,8 +57,9 @@ struct KalmanFilter struct KalmanProcessNoiseScaler { - Matrix - innovation_cov_estimate, + MeasureMatrix + innovation_cov_estimate; + StateMatrix base_cov; // baseline (unscaled) process noise covariance matrix void init(); void update(KalmanFilter &kf, double dt); @@ -107,7 +114,7 @@ class FTNoIR_Filter : public IFilter { PoseVector do_kalman_filter(const PoseVector &input, double dt, bool new_input); void fill_transition_matrix(double dt); - void fill_process_noise_cov_matrix(Matrix &target, double dt) const; + void fill_process_noise_cov_matrix(StateMatrix &target, double dt) const; public: FTNoIR_Filter(); void reset(); -- cgit v1.2.3 From 36266cacc451d468f450fd42e4a4e7de403f6144 Mon Sep 17 00:00:00 2001 From: DaMichel Date: Tue, 2 Aug 2016 12:55:58 +0200 Subject: filter/kalman: slider resolution shall be limited by pixels on screen, not by quantization of slider values. --- filter-kalman/ftnoir_kalman_filtercontrols.ui | 8 +++--- filter-kalman/kalman.cpp | 39 ++++++++++++++++----------- filter-kalman/kalman.h | 18 +++++++------ 3 files changed, 38 insertions(+), 27 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/ftnoir_kalman_filtercontrols.ui b/filter-kalman/ftnoir_kalman_filtercontrols.ui index 848e5424..2e9bcae7 100644 --- a/filter-kalman/ftnoir_kalman_filtercontrols.ui +++ b/filter-kalman/ftnoir_kalman_filtercontrols.ui @@ -52,7 +52,7 @@ - 100 + 10000 1 @@ -67,7 +67,7 @@ false - QSlider::TicksAbove + QSlider::NoTicks 10 @@ -84,13 +84,13 @@ - 100 + 10000 Qt::Horizontal - QSlider::TicksAbove + QSlider::NoTicks 10 diff --git a/filter-kalman/kalman.cpp b/filter-kalman/kalman.cpp index 804d15da..513ebf51 100644 --- a/filter-kalman/kalman.cpp +++ b/filter-kalman/kalman.cpp @@ -196,8 +196,8 @@ void FTNoIR_Filter::reset() first_run = true; dt_since_last_input = 0; - prev_slider_pos[0] = s.noise_pos_slider_value; - prev_slider_pos[1] = s.noise_rot_slider_value; + prev_slider_pos[0] = static_cast(s.noise_pos_slider_value); + prev_slider_pos[1] = static_cast(s.noise_rot_slider_value); minimal_state_var = PoseVector::Constant(std::numeric_limits::max()); @@ -211,8 +211,8 @@ void FTNoIR_Filter::filter(const double* input_, double *output_) Eigen::Map input(input_, PoseVector::RowsAtCompileTime, 1); Eigen::Map output(output_, PoseVector::RowsAtCompileTime, 1); - if (prev_slider_pos[0] != s.noise_pos_slider_value || - prev_slider_pos[1] != s.noise_rot_slider_value) + if (!(prev_slider_pos[0] == s.noise_pos_slider_value && + prev_slider_pos[1] == s.noise_rot_slider_value)) { reset(); } @@ -265,19 +265,28 @@ FilterControls::FilterControls() ui.setupUi(this); connect(ui.buttonBox, SIGNAL(accepted()), this, SLOT(doOK())); connect(ui.buttonBox, SIGNAL(rejected()), this, SLOT(doCancel())); - connect(ui.noiseRotSlider, &QSlider::valueChanged, [=](int value) { - this->ui.noiseRotLabel->setText( - // M$ hates unicode! (M$ autoconverts source code of one kind of utf-8 format, the one without BOM, to another kind that QT does not like) - // We could use QChar(0x00b0). It should be totally backward compatible. - // u8"°" is c++11. u8 means that the string is encoded in utf8. It happens to be compatible with QT. - QString::number(settings::map_slider_value(value), 'f', 3) + u8" °"); - }); - connect(ui.noisePosSlider, &QSlider::valueChanged, [=](int value) { - this->ui.noisePosLabel->setText( - QString::number(settings::map_slider_value(value), 'f', 3) + " cm"); - }); + tie_setting(s.noise_rot_slider_value, ui.noiseRotSlider); tie_setting(s.noise_pos_slider_value, ui.noisePosSlider); + + connect(&s.noise_rot_slider_value, SIGNAL(valueChanged(const slider_value&)), this, SLOT(updateLabels(const slider_value&))); + connect(&s.noise_pos_slider_value, SIGNAL(valueChanged(const slider_value&)), this, SLOT(updateLabels(const slider_value&))); + + updateLabels(slider_value()); +} + + +void FilterControls::updateLabels(const slider_value&) +{ + // M$ hates unicode! (M$ autoconverts source code of one kind of utf-8 format, + // the one without BOM, to another kind that QT does not like) + // Previous attempt to use c++11 utf8 strings like u8" °" now failed for unkown + // reasons where it worked before. Hence fallback to QChar(0x00b0). + this->ui.noiseRotLabel->setText( + QString::number(settings::map_slider_value(s.noise_rot_slider_value), 'f', 3) + " " + QChar(0x00b0)); + + this->ui.noisePosLabel->setText( + QString::number(settings::map_slider_value(s.noise_pos_slider_value), 'f', 3) + " cm"); } diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index a9771b8e..cb3041ea 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -87,25 +87,26 @@ struct DeadzoneFilter struct settings : opts { - value noise_rot_slider_value; - value noise_pos_slider_value; + value noise_rot_slider_value; + value noise_pos_slider_value; static constexpr double adaptivity_window_length = 0.5; // seconds static constexpr double deadzone_scale = 2.; static constexpr double deadzone_exponent = 4.0; // these values worked best for me (MW) when taken with acompanying measured noise stddev of ca 0.1 (rot) and 0.01 (pos). - static constexpr double process_sigma_pos = 0.05; + static constexpr double process_sigma_pos = 0.5; static constexpr double process_simga_rot = 0.5; - static double map_slider_value(int v) + static double map_slider_value(const slider_value &v) { - return std::pow(10., v * 0.04 - 3.); + //return std::pow(4., v * 5. - 4.) / 4. * 10.; // not so much difference, except that it is harder to adjust the min-max range. + return std::pow(10., v * 4. - 3.); } settings() : opts("kalman-filter"), - noise_rot_slider_value(b, "noise-rotation-slider", 40), - noise_pos_slider_value(b, "noise-position-slider", 40) + noise_rot_slider_value(b, "noise-rotation-slider", slider_value(0.5, 0., 1.)), + noise_pos_slider_value(b, "noise-position-slider", slider_value(0.5, 0., 1.)) {} }; @@ -128,7 +129,7 @@ public: KalmanProcessNoiseScaler kf_adaptive_process_noise_cov; PoseVector minimal_state_var; DeadzoneFilter dz_filter; - int prev_slider_pos[2]; + slider_value prev_slider_pos[2]; EIGEN_MAKE_ALIGNED_OPERATOR_NEW }; @@ -153,4 +154,5 @@ public: public slots: void doOK(); void doCancel(); + void updateLabels(const slider_value&); }; -- cgit v1.2.3 From 9f7dc5c005d7acbb0dcbf748787d29dac203e825 Mon Sep 17 00:00:00 2001 From: DaMichel Date: Tue, 2 Aug 2016 13:11:05 +0200 Subject: filter/kalman: deadzone adjustment and parameter tuning --- filter-kalman/kalman.cpp | 7 ++++--- filter-kalman/kalman.h | 3 +-- 2 files changed, 5 insertions(+), 5 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.cpp b/filter-kalman/kalman.cpp index 513ebf51..d885960d 100644 --- a/filter-kalman/kalman.cpp +++ b/filter-kalman/kalman.cpp @@ -199,7 +199,7 @@ void FTNoIR_Filter::reset() prev_slider_pos[0] = static_cast(s.noise_pos_slider_value); prev_slider_pos[1] = static_cast(s.noise_rot_slider_value); - minimal_state_var = PoseVector::Constant(std::numeric_limits::max()); + //minimal_state_var = PoseVector::Constant(std::numeric_limits::max()); dz_filter.reset(); } @@ -245,8 +245,9 @@ void FTNoIR_Filter::filter(const double* input_, double *output_) // deadzone size is zero. Thus the tracking error due to the dz-filter // becomes zero. PoseVector variance = kf.state_cov.diagonal().head(6); - minimal_state_var = minimal_state_var.cwiseMin(variance); - dz_filter.dz_size = (variance - minimal_state_var).cwiseSqrt() * s.deadzone_scale; + //minimal_state_var = minimal_state_var.cwiseMin(variance); + //dz_filter.dz_size = (variance - minimal_state_var).cwiseSqrt() * s.deadzone_scale; + dz_filter.dz_size = variance.cwiseSqrt() * s.deadzone_scale; } output = dz_filter.filter(output); diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index cb3041ea..57eb8e97 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -93,7 +93,6 @@ struct settings : opts { static constexpr double adaptivity_window_length = 0.5; // seconds static constexpr double deadzone_scale = 2.; static constexpr double deadzone_exponent = 4.0; - // these values worked best for me (MW) when taken with acompanying measured noise stddev of ca 0.1 (rot) and 0.01 (pos). static constexpr double process_sigma_pos = 0.5; static constexpr double process_simga_rot = 0.5; @@ -127,7 +126,7 @@ public: settings s; KalmanFilter kf; KalmanProcessNoiseScaler kf_adaptive_process_noise_cov; - PoseVector minimal_state_var; + //PoseVector minimal_state_var; DeadzoneFilter dz_filter; slider_value prev_slider_pos[2]; -- cgit v1.2.3 From 561c0021630481d9dfba3987a47c1a142be9a2ba Mon Sep 17 00:00:00 2001 From: DaMichel Date: Tue, 2 Aug 2016 13:31:53 +0200 Subject: filter/kalman: changed copyright notice --- filter-kalman/kalman.cpp | 2 +- filter-kalman/kalman.h | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.cpp b/filter-kalman/kalman.cpp index d885960d..1d71e3f6 100644 --- a/filter-kalman/kalman.cpp +++ b/filter-kalman/kalman.cpp @@ -1,4 +1,4 @@ -/* Copyright (c) 2013 Stanislaw Halik +/* Copyright (c) 2016 Michael Welter * * Permission to use, copy, modify, and/or distribute this software for any * purpose with or without fee is hereby granted, provided that the above diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index 57eb8e97..3bb5aad2 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -1,5 +1,5 @@ #pragma once -/* Copyright (c) 2013 Stanislaw Halik +/* Copyright (c) 2016 Michael Welter * * Permission to use, copy, modify, and/or distribute this software for any * purpose with or without fee is hereby granted, provided that the above -- cgit v1.2.3 From e1658b7ffaae49085ea8ef501b24b8645b071b85 Mon Sep 17 00:00:00 2001 From: DaMichel Date: Thu, 4 Aug 2016 10:06:36 +0200 Subject: filter/kalman: log sliders that only change a single decimal digit at a time when moved --- filter-kalman/ftnoir_kalman_filtercontrols.ui | 24 +++++++++++++++--------- filter-kalman/kalman.h | 27 ++++++++++++++++++++++++--- 2 files changed, 39 insertions(+), 12 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/ftnoir_kalman_filtercontrols.ui b/filter-kalman/ftnoir_kalman_filtercontrols.ui index 2e9bcae7..6ec18ba8 100644 --- a/filter-kalman/ftnoir_kalman_filtercontrols.ui +++ b/filter-kalman/ftnoir_kalman_filtercontrols.ui @@ -9,7 +9,7 @@ 0 0 - 431 + 438 141 @@ -52,11 +52,14 @@ - 10000 + 400 1 + + 100 + true @@ -67,10 +70,10 @@ false - QSlider::NoTicks + QSlider::TicksBelow - 10 + 100 @@ -84,16 +87,19 @@ - 10000 + 400 + + + 100 Qt::Horizontal - QSlider::NoTicks + QSlider::TicksBelow - 10 + 100 @@ -101,7 +107,7 @@ - 60 + 65 0 @@ -114,7 +120,7 @@ - 60 + 65 0 diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index 3bb5aad2..3c9466a5 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -96,10 +96,31 @@ struct settings : opts { static constexpr double process_sigma_pos = 0.5; static constexpr double process_simga_rot = 0.5; - static double map_slider_value(const slider_value &v) + static double map_slider_value(const slider_value &v_) { - //return std::pow(4., v * 5. - 4.) / 4. * 10.; // not so much difference, except that it is harder to adjust the min-max range. - return std::pow(10., v * 4. - 3.); + const double v = v_; +#if 0 + //return std::pow(10., v * 4. - 3.); +#else + constexpr int min_log10 = -3; + constexpr int max_log10 = 1; + constexpr int num_divisions = max_log10 - min_log10; + /* ascii art representation of slider + // ----- // ------// ------// ------- // 4 divisions + -3 - 2 -1 0 1 power of 10 + | | + | f + left_side_log10 + | + left_side_log10 + */ + const int k = v * num_divisions; // in which division are we?! + const double f = v * num_divisions - k; // where in the division are we?! + const double ff = f * 9. + 1.; + const double multiplier = int(ff * 10.) / 10.; + const int left_side_log10 = min_log10 + k; + const double val = std::pow(10., left_side_log10) * multiplier; + return val; +#endif } settings() : -- cgit v1.2.3 From b798b0ae5a971bbb43c6f47b667f108a747bfffe Mon Sep 17 00:00:00 2001 From: DaMichel Date: Thu, 4 Aug 2016 13:31:23 +0200 Subject: filter/kalman: deadzone tweaks --- filter-kalman/kalman.cpp | 17 +++++++---------- filter-kalman/kalman.h | 5 ++--- 2 files changed, 9 insertions(+), 13 deletions(-) (limited to 'filter-kalman/kalman.h') diff --git a/filter-kalman/kalman.cpp b/filter-kalman/kalman.cpp index 1d71e3f6..6ed5ca91 100644 --- a/filter-kalman/kalman.cpp +++ b/filter-kalman/kalman.cpp @@ -199,8 +199,6 @@ void FTNoIR_Filter::reset() prev_slider_pos[0] = static_cast(s.noise_pos_slider_value); prev_slider_pos[1] = static_cast(s.noise_rot_slider_value); - //minimal_state_var = PoseVector::Constant(std::numeric_limits::max()); - dz_filter.reset(); } @@ -238,15 +236,14 @@ void FTNoIR_Filter::filter(const double* input_, double *output_) { // Compute deadzone size base on estimated state variance. - // Given a constant input plus noise, KF should converge to the true (constant) input. - // This works indeed. That is the output pose becomes very still afte some time. - // At this point the estimated cov should be minimal. We can use this to - // calculate the size of the deadzone, so that in the stationary state the - // deadzone size is zero. Thus the tracking error due to the dz-filter - // becomes zero. + // Given a constant input plus measurement noise, KF should converge to the true input. + // This works well. That is the output pose becomes very still afte some time. + // The QScaling adaptive filter makes the state cov vary depending on the estimated noise + // and the measured noise of the innovation sequence. After a sudden movement it peaks + // and then decays asymptotically to some constant value taken in stationary state. + // We can use this to calculate the size of the deadzone, so that in the stationary state the + // deadzone size is small. Thus the tracking error due to the dz-filter becomes also small. PoseVector variance = kf.state_cov.diagonal().head(6); - //minimal_state_var = minimal_state_var.cwiseMin(variance); - //dz_filter.dz_size = (variance - minimal_state_var).cwiseSqrt() * s.deadzone_scale; dz_filter.dz_size = variance.cwiseSqrt() * s.deadzone_scale; } output = dz_filter.filter(output); diff --git a/filter-kalman/kalman.h b/filter-kalman/kalman.h index 3c9466a5..aaed3bc1 100644 --- a/filter-kalman/kalman.h +++ b/filter-kalman/kalman.h @@ -91,8 +91,8 @@ struct settings : opts { value noise_pos_slider_value; static constexpr double adaptivity_window_length = 0.5; // seconds - static constexpr double deadzone_scale = 2.; - static constexpr double deadzone_exponent = 4.0; + static constexpr double deadzone_scale = 2; + static constexpr double deadzone_exponent = 2.0; static constexpr double process_sigma_pos = 0.5; static constexpr double process_simga_rot = 0.5; @@ -147,7 +147,6 @@ public: settings s; KalmanFilter kf; KalmanProcessNoiseScaler kf_adaptive_process_noise_cov; - //PoseVector minimal_state_var; DeadzoneFilter dz_filter; slider_value prev_slider_pos[2]; -- cgit v1.2.3