/* * Copyright (C) 2011 The Android Open Source Project * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef ANDROID_FUSION_H #define ANDROID_FUSION_H #include <utils/Errors.h> #include "quat.h" #include "mat.h" #include "vec.h" namespace android { typedef mat<float, 3, 4> mat34_t; class Fusion { /* * the state vector is made of two sub-vector containing respectively: * - modified Rodrigues parameters * - the estimated gyro bias */ quat_t x0; vec3_t x1; /* * the predicated covariance matrix is made of 4 3x3 sub-matrices and it is * semi-definite positive. * * P = | P00 P10 | = | P00 P10 | * | P01 P11 | | P10t P11 | * * Since P01 = transpose(P10), the code below never calculates or * stores P01. */ mat<mat33_t, 2, 2> P; /* * the process noise covariance matrix */ mat<mat33_t, 2, 2> GQGt; public: Fusion(); void init(); void handleGyro(const vec3_t& w, float dT); status_t handleAcc(const vec3_t& a); status_t handleMag(const vec3_t& m); vec4_t getAttitude() const; vec3_t getBias() const; mat33_t getRotationMatrix() const; bool hasEstimate() const; private: mat<mat33_t, 2, 2> Phi; vec3_t Ba, Bm; uint32_t mInitState; float mGyroRate; vec<vec3_t, 3> mData; size_t mCount[3]; enum { ACC=0x1, MAG=0x2, GYRO=0x4 }; bool checkInitComplete(int, const vec3_t& w, float d = 0); void initFusion(const vec4_t& q0, float dT); void checkState(); void predict(const vec3_t& w, float dT); void update(const vec3_t& z, const vec3_t& Bi, float sigma); static mat34_t getF(const vec4_t& p); }; }; // namespace android #endif // ANDROID_FUSION_H