mirror of
https://github.com/PX4/PX4-Autopilot.git
synced 2026-06-01 02:55:07 +08:00
ekf2-terrain: terrain is not a separate estimator
This commit is contained in:
@@ -213,7 +213,7 @@ if(CONFIG_EKF2_SIDESLIP)
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endif()
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endif()
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if(CONFIG_EKF2_TERRAIN)
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if(CONFIG_EKF2_TERRAIN)
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list(APPEND EKF_SRCS EKF/terrain_estimator/terrain_estimator.cpp)
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list(APPEND EKF_SRCS EKF/terrain_control.cpp)
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endif()
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endif()
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add_subdirectory(EKF)
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add_subdirectory(EKF)
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@@ -135,7 +135,7 @@ if(CONFIG_EKF2_SIDESLIP)
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endif()
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endif()
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if(CONFIG_EKF2_TERRAIN)
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if(CONFIG_EKF2_TERRAIN)
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list(APPEND EKF_SRCS terrain_estimator/terrain_estimator.cpp)
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list(APPEND EKF_SRCS terrain_control.cpp)
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endif()
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endif()
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include_directories(${CMAKE_CURRENT_SOURCE_DIR})
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include_directories(${CMAKE_CURRENT_SOURCE_DIR})
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@@ -33,12 +33,6 @@
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/**
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/**
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* @file optflow_fusion.cpp
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* @file optflow_fusion.cpp
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* Function for fusing gps and baro measurements/
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* equations generated using EKF/python/ekf_derivation/main.py
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*
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* @author Paul Riseborough <p_riseborough@live.com.au>
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* @author Siddharth Bharat Purohit <siddharthbharatpurohit@gmail.com>
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*
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*/
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*/
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#include "ekf.h"
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#include "ekf.h"
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+1
-3
@@ -32,9 +32,7 @@
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****************************************************************************/
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****************************************************************************/
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/**
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/**
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* @file terrain_estimator.cpp
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* @file terrain_control.cpp
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* Function for fusing rangefinder and optical flow measurements
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* to estimate terrain vertical position
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*/
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*/
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#include "ekf.h"
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#include "ekf.h"
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@@ -1,99 +0,0 @@
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Copyright (c) 2023-2024 PX4 Development Team
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in
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the documentation and/or other materials provided with the
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distribution.
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3. Neither the name PX4 nor the names of its contributors may be
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used to endorse or promote products derived from this software
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without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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POSSIBILITY OF SUCH DAMAGE.
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File: derivation_terrain_estimator.py
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Description:
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"""
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import symforce
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symforce.set_epsilon_to_symbol()
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import symforce.symbolic as sf
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# generate_px4_function from derivation_utils in EKF/ekf_derivation/utils
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import os, sys
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derivation_utils_dir = os.path.dirname(os.path.abspath(__file__)) + "/../../python/ekf_derivation/utils"
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sys.path.append(derivation_utils_dir)
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import derivation_utils
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def predict_opt_flow(
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terrain_vpos: sf.Scalar,
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q_att: sf.V4,
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v: sf.V3,
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pos_z: sf.Scalar,
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epsilon : sf.Scalar
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):
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R_to_earth = sf.Rot3(sf.Quaternion(xyz=q_att[1:4], w=q_att[0])).to_rotation_matrix()
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flow_pred = sf.V2()
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dist = - (pos_z - terrain_vpos)
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dist = derivation_utils.add_epsilon_sign(dist, dist, epsilon)
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flow_pred[0] = -v[1] / dist * R_to_earth[2, 2]
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flow_pred[1] = v[0] / dist * R_to_earth[2, 2]
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return flow_pred
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def terr_est_compute_flow_xy_innov_var_and_hx(
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terrain_vpos: sf.Scalar,
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P: sf.Scalar,
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q_att: sf.V4,
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v: sf.V3,
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pos_z: sf.Scalar,
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R: sf.Scalar,
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epsilon : sf.Scalar
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):
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flow_pred = predict_opt_flow(terrain_vpos, q_att, v, pos_z, epsilon)
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Hx = sf.V1(flow_pred[0]).jacobian(terrain_vpos)
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Hy = sf.V1(flow_pred[1]).jacobian(terrain_vpos)
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innov_var = sf.V2()
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innov_var[0] = (Hx * P * Hx.T + R)[0,0]
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innov_var[1] = (Hy * P * Hy.T + R)[0,0]
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return (innov_var, Hx[0, 0])
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def terr_est_compute_flow_y_innov_var_and_h(
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terrain_vpos: sf.Scalar,
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P: sf.Scalar,
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q_att: sf.V4,
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v: sf.V3,
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pos_z: sf.Scalar,
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R: sf.Scalar,
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epsilon : sf.Scalar
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):
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flow_pred = predict_opt_flow(terrain_vpos, q_att, v, pos_z, epsilon)
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Hy = sf.V1(flow_pred[1]).jacobian(terrain_vpos)
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innov_var = (Hy * P * Hy.T + R)[0,0]
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return (innov_var, Hy[0, 0])
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print("Derive terrain estimator equations...")
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derivation_utils.generate_px4_function(terr_est_compute_flow_xy_innov_var_and_hx, output_names=["innov_var", "H"])
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derivation_utils.generate_px4_function(terr_est_compute_flow_y_innov_var_and_h, output_names=["innov_var", "H"])
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-66
@@ -1,66 +0,0 @@
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// -----------------------------------------------------------------------------
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// This file was autogenerated by symforce from template:
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// function/FUNCTION.h.jinja
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// Do NOT modify by hand.
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// -----------------------------------------------------------------------------
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#pragma once
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#include <matrix/math.hpp>
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namespace sym {
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/**
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* This function was autogenerated from a symbolic function. Do not modify by hand.
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*
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* Symbolic function: terr_est_compute_flow_xy_innov_var_and_hx
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*
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* Args:
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* terrain_vpos: Scalar
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* P: Scalar
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* q_att: Matrix41
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* v: Matrix31
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* pos_z: Scalar
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* R: Scalar
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* epsilon: Scalar
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*
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* Outputs:
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* innov_var: Matrix21
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* H: Scalar
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*/
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template <typename Scalar>
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void TerrEstComputeFlowXyInnovVarAndHx(const Scalar terrain_vpos, const Scalar P,
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const matrix::Matrix<Scalar, 4, 1>& q_att,
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const matrix::Matrix<Scalar, 3, 1>& v, const Scalar pos_z,
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const Scalar R, const Scalar epsilon,
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matrix::Matrix<Scalar, 2, 1>* const innov_var = nullptr,
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Scalar* const H = nullptr) {
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// Total ops: 27
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// Input arrays
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// Intermediate terms (4)
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const Scalar _tmp0 =
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-2 * std::pow(q_att(1, 0), Scalar(2)) - 2 * std::pow(q_att(2, 0), Scalar(2)) + 1;
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const Scalar _tmp1 = pos_z - terrain_vpos;
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const Scalar _tmp2 =
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-_tmp1 + epsilon * (2 * math::min<Scalar>(0, -(((_tmp1) > 0) - ((_tmp1) < 0))) + 1);
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const Scalar _tmp3 = P * std::pow(_tmp0, Scalar(2)) / std::pow(_tmp2, Scalar(4));
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// Output terms (2)
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if (innov_var != nullptr) {
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matrix::Matrix<Scalar, 2, 1>& _innov_var = (*innov_var);
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_innov_var(0, 0) = R + _tmp3 * std::pow(v(1, 0), Scalar(2));
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_innov_var(1, 0) = R + _tmp3 * std::pow(v(0, 0), Scalar(2));
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}
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if (H != nullptr) {
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Scalar& _h = (*H);
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_h = _tmp0 * v(1, 0) / std::pow(_tmp2, Scalar(2));
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}
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} // NOLINT(readability/fn_size)
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// NOLINTNEXTLINE(readability/fn_size)
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} // namespace sym
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-65
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// -----------------------------------------------------------------------------
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// This file was autogenerated by symforce from template:
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// function/FUNCTION.h.jinja
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// Do NOT modify by hand.
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// -----------------------------------------------------------------------------
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#pragma once
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#include <matrix/math.hpp>
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namespace sym {
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/**
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* This function was autogenerated from a symbolic function. Do not modify by hand.
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*
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* Symbolic function: terr_est_compute_flow_y_innov_var_and_h
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*
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* Args:
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* terrain_vpos: Scalar
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* P: Scalar
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* q_att: Matrix41
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* v: Matrix31
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* pos_z: Scalar
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* R: Scalar
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* epsilon: Scalar
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*
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* Outputs:
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* innov_var: Scalar
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* H: Scalar
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*/
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template <typename Scalar>
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void TerrEstComputeFlowYInnovVarAndH(const Scalar terrain_vpos, const Scalar P,
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const matrix::Matrix<Scalar, 4, 1>& q_att,
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const matrix::Matrix<Scalar, 3, 1>& v, const Scalar pos_z,
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const Scalar R, const Scalar epsilon,
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Scalar* const innov_var = nullptr, Scalar* const H = nullptr) {
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// Total ops: 25
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// Input arrays
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// Intermediate terms (3)
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const Scalar _tmp0 =
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-2 * std::pow(q_att(1, 0), Scalar(2)) - 2 * std::pow(q_att(2, 0), Scalar(2)) + 1;
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const Scalar _tmp1 = pos_z - terrain_vpos;
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const Scalar _tmp2 =
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-_tmp1 + epsilon * (2 * math::min<Scalar>(0, -(((_tmp1) > 0) - ((_tmp1) < 0))) + 1);
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// Output terms (2)
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if (innov_var != nullptr) {
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Scalar& _innov_var = (*innov_var);
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_innov_var =
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P * std::pow(_tmp0, Scalar(2)) * std::pow(v(0, 0), Scalar(2)) / std::pow(_tmp2, Scalar(4)) +
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R;
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}
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if (H != nullptr) {
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Scalar& _h = (*H);
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_h = -_tmp0 * v(0, 0) / std::pow(_tmp2, Scalar(2));
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}
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} // NOLINT(readability/fn_size)
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// NOLINTNEXTLINE(readability/fn_size)
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} // namespace sym
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@@ -54,7 +54,7 @@ px4_add_unit_gtest(SRC test_EKF_mag.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_mag_declination_generated.cpp LINKLIBS ecl_EKF ecl_test_helper)
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px4_add_unit_gtest(SRC test_EKF_mag_declination_generated.cpp LINKLIBS ecl_EKF ecl_test_helper)
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px4_add_unit_gtest(SRC test_EKF_measurementSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_measurementSampling.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_ringbuffer.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_ringbuffer.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_terrain_estimator.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
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px4_add_unit_gtest(SRC test_EKF_terrain.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
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px4_add_unit_gtest(SRC test_EKF_utils.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_utils.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_withReplayData.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_withReplayData.cpp LINKLIBS ecl_EKF ecl_sensor_sim)
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px4_add_unit_gtest(SRC test_EKF_yaw_estimator.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
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px4_add_unit_gtest(SRC test_EKF_yaw_estimator.cpp LINKLIBS ecl_EKF ecl_sensor_sim ecl_test_helper)
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+1
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****************************************************************************/
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****************************************************************************/
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/**
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/**
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* Test the terrain estimator
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* Test the terrain estimate
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* @author Mathieu Bresciani <brescianimathieu@gmail.com>
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*/
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*/
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#include <gtest/gtest.h>
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#include <gtest/gtest.h>
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Reference in New Issue
Block a user