106 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
			
		
		
	
	
			106 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
/**
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 * @file IMUFactor.h
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 * @brief Factor to express an IMU measurement between dynamic poses
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 * @author Alex Cunningham
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 */
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#pragma once
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#include <gtsam/base/numericalDerivative.h>
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#include <gtsam/nonlinear/NonlinearFactor.h>
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#include <gtsam_unstable/dynamics/PoseRTV.h>
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namespace gtsam {
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/**
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 * Class that represents integrating IMU measurements over time for dynamic systems
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 * Templated to allow for different key types, but variables all
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 * assumed to be PoseRTV
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 */
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template<class POSE>
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class IMUFactor : public NoiseModelFactor2<POSE, POSE> {
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public:
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  typedef NoiseModelFactor2<POSE, POSE> Base;
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  typedef IMUFactor<POSE> This;
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protected:
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  /** measurements from the IMU */
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  Vector3 accel_, gyro_;
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  double dt_; /// time between measurements
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public:
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  /** Standard constructor */
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  IMUFactor(const Vector3& accel, const Vector3& gyro,
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      double dt, const Key& key1, const Key& key2, const SharedNoiseModel& model)
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  : Base(model, key1, key2), accel_(accel), gyro_(gyro), dt_(dt) {}
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  /** Full IMU vector specification */
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  IMUFactor(const Vector6& imu_vector,
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      double dt, const Key& key1, const Key& key2, const SharedNoiseModel& model)
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  : Base(model, key1, key2), accel_(imu_vector.head(3)), gyro_(imu_vector.tail(3)), dt_(dt) {}
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  virtual ~IMUFactor() {}
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  /// @return a deep copy of this factor
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  virtual gtsam::NonlinearFactor::shared_ptr clone() const {
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    return boost::static_pointer_cast<gtsam::NonlinearFactor>(
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        gtsam::NonlinearFactor::shared_ptr(new This(*this))); }
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  /** Check if two factors are equal */
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  virtual bool equals(const NonlinearFactor& e, double tol = 1e-9) const {
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    const This* const f = dynamic_cast<const This*>(&e);
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    return f && Base::equals(e) &&
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        equal_with_abs_tol(accel_, f->accel_, tol) &&
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        equal_with_abs_tol(gyro_, f->gyro_, tol) &&
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        fabs(dt_ - f->dt_) < tol;
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  }
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  void print(const std::string& s="", const gtsam::KeyFormatter& formatter = gtsam::DefaultKeyFormatter) const {
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    std::string a = "IMUFactor: " + s;
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    Base::print(a, formatter);
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    gtsam::print((Vector)accel_, "accel");
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    gtsam::print((Vector)gyro_, "gyro");
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    std::cout << "dt: " << dt_ << std::endl;
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  }
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  // access
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  const Vector3& gyro() const { return gyro_; }
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  const Vector3& accel() const { return accel_; }
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  Vector6 z() const { return (Vector6() << accel_, gyro_).finished(); }
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  /**
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   * Error evaluation with optional derivatives - calculates
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   *  z - h(x1,x2)
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   */
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  virtual Vector evaluateError(const PoseRTV& x1, const PoseRTV& x2,
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      boost::optional<Matrix&> H1 = boost::none,
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      boost::optional<Matrix&> H2 = boost::none) const {
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    const Vector6 meas = z();
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    if (H1) *H1 = numericalDerivative21<Vector6, PoseRTV, PoseRTV>(
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        boost::bind(This::predict_proxy, _1, _2, dt_, meas), x1, x2, 1e-5);
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    if (H2) *H2 = numericalDerivative22<Vector6, PoseRTV, PoseRTV>(
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        boost::bind(This::predict_proxy, _1, _2, dt_, meas), x1, x2, 1e-5);
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    return predict_proxy(x1, x2, dt_, meas);
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  }
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  /** dummy version that fails for non-dynamic poses */
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  virtual Vector evaluateError(const Pose3& x1, const Pose3& x2,
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      boost::optional<Matrix&> H1 = boost::none,
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      boost::optional<Matrix&> H2 = boost::none) const {
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    assert(false); // no corresponding factor here
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    return Vector6::Zero();
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  }
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private:
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  /** copy of the measurement function formulated for numerical derivatives */
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  static Vector6 predict_proxy(const PoseRTV& x1, const PoseRTV& x2,
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      double dt, const Vector6& meas) {
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    Vector6 hx = x1.imuPrediction(x2, dt);
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    return meas - hx;
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  }
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};
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} // \namespace gtsam
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