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add PoseVelocityBias struct to be returned by Predict function

release/4.3a0
krunalchande 2014-11-19 13:15:57 -05:00
parent 4ee5674b2e
commit b6ab7a4dfa
1 changed files with 32 additions and 71 deletions
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83
gtsam/navigation/CombinedImuFactor.h
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@ -29,6 +29,21 @@
namespace gtsam { namespace gtsam {
/**
* Struct to hold all state variables of CombinedImuFactor
* returned by predict function
*/
struct PoseVelocityBias {
Pose3 pose;
Vector3 velocity;
imuBias::ConstantBias bias;
PoseVelocityBias(const Pose3& _pose, const Vector3& _velocity,
const imuBias::ConstantBias _bias) :
pose(_pose), velocity(_velocity), bias(_bias) {
}
};
/** /**
* *
* @addtogroup SLAM * @addtogroup SLAM
@ -107,7 +122,8 @@ namespace gtsam {
biasHat_(imuBias::ConstantBias()), measurementCovariance_(21,21), deltaPij_(Vector3::Zero()), deltaVij_(Vector3::Zero()), deltaTij_(0.0), biasHat_(imuBias::ConstantBias()), measurementCovariance_(21,21), deltaPij_(Vector3::Zero()), deltaVij_(Vector3::Zero()), deltaTij_(0.0),
delPdelBiasAcc(Matrix3::Zero()), delPdelBiasOmega(Matrix3::Zero()), delPdelBiasAcc(Matrix3::Zero()), delPdelBiasOmega(Matrix3::Zero()),
delVdelBiasAcc(Matrix3::Zero()), delVdelBiasOmega(Matrix3::Zero()), delVdelBiasAcc(Matrix3::Zero()), delVdelBiasOmega(Matrix3::Zero()),
delRdelBiasOmega(Matrix3::Zero()), PreintMeasCov(Matrix::Zero(15,15)) delRdelBiasOmega(Matrix3::Zero()), PreintMeasCov(Matrix::Zero(15,15)),
use2ndOrderIntegration_(false) ///< Controls the order of integration
{ {
} }
@ -642,8 +658,8 @@ namespace gtsam {
/** predicted states from IMU */ /** predicted states from IMU */
static void Predict(const Pose3& pose_i, const Vector3& vel_i, Pose3& pose_j, Vector3& vel_j, static PoseVelocityBias Predict(const Pose3& pose_i, const Vector3& vel_i,
const imuBias::ConstantBias& bias_i, imuBias::ConstantBias& bias_j, const imuBias::ConstantBias& bias_i,
const CombinedPreintegratedMeasurements& preintegratedMeasurements, const CombinedPreintegratedMeasurements& preintegratedMeasurements,
const Vector3& gravity, const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor = boost::none, const Vector3& gravity, const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor = boost::none,
const bool use2ndOrderCoriolis = false) const bool use2ndOrderCoriolis = false)
@ -665,7 +681,7 @@ namespace gtsam {
- skewSymmetric(omegaCoriolis) * vel_i * deltaTij*deltaTij // Coriolis term - we got rid of the 2 wrt ins paper - skewSymmetric(omegaCoriolis) * vel_i * deltaTij*deltaTij // Coriolis term - we got rid of the 2 wrt ins paper
+ 0.5 * gravity * deltaTij*deltaTij; + 0.5 * gravity * deltaTij*deltaTij;
vel_j = Vector3(vel_i + Rot_i.matrix() * (preintegratedMeasurements.deltaVij_ Vector3 vel_j = Vector3(vel_i + Rot_i.matrix() * (preintegratedMeasurements.deltaVij_
+ preintegratedMeasurements.delVdelBiasAcc * biasAccIncr + preintegratedMeasurements.delVdelBiasAcc * biasAccIncr
+ preintegratedMeasurements.delVdelBiasOmega * biasOmegaIncr) + preintegratedMeasurements.delVdelBiasOmega * biasOmegaIncr)
- 2 * skewSymmetric(omegaCoriolis) * vel_i * deltaTij // Coriolis term - 2 * skewSymmetric(omegaCoriolis) * vel_i * deltaTij // Coriolis term
@ -685,64 +701,9 @@ namespace gtsam {
Rot3::Expmap( theta_biascorrected_corioliscorrected ); Rot3::Expmap( theta_biascorrected_corioliscorrected );
const Rot3 Rot_j = Rot_i.compose( deltaRij_biascorrected_corioliscorrected ); const Rot3 Rot_j = Rot_i.compose( deltaRij_biascorrected_corioliscorrected );
pose_j = Pose3( Rot_j, Point3(pos_j) ); Pose3 pose_j = Pose3( Rot_j, Point3(pos_j) );
bias_j = bias_i; return PoseVelocityBias(pose_j, vel_j, bias_i);
}
static Pose3 predictPose(const Pose3& pose_i, const LieVector& vel_i,
const imuBias::ConstantBias& bias_i,
const CombinedPreintegratedMeasurements& preintegratedMeasurements,
const Vector3& gravity, const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor = boost::none,
const bool use2ndOrderCoriolis = false) {
Pose3 pose_j = Pose3();
LieVector vel_j = LieVector();
imuBias::ConstantBias bias_j = imuBias::ConstantBias();
predict(pose_i, vel_i, pose_j, vel_j,
bias_i, bias_j,
preintegratedMeasurements,
gravity, omegaCoriolis, body_P_sensor,
use2ndOrderCoriolis);
return pose_j;
}
static LieVector predictVelocity(const Pose3& pose_i, const LieVector& vel_i,
const imuBias::ConstantBias& bias_i,
const CombinedPreintegratedMeasurements& preintegratedMeasurements,
const Vector3& gravity, const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor = boost::none,
const bool use2ndOrderCoriolis = false) {
Pose3 pose_j = Pose3();
LieVector vel_j = LieVector();
imuBias::ConstantBias bias_j = imuBias::ConstantBias();
predict(pose_i, vel_i, pose_j, vel_j,
bias_i, bias_j,
preintegratedMeasurements,
gravity, omegaCoriolis, body_P_sensor,
use2ndOrderCoriolis);
return vel_j;
}
static imuBias::ConstantBias predictImuBias(const Pose3& pose_i, const LieVector& vel_i,
const imuBias::ConstantBias& bias_i,
const CombinedPreintegratedMeasurements& preintegratedMeasurements,
const Vector3& gravity, const Vector3& omegaCoriolis, boost::optional<const Pose3&> body_P_sensor = boost::none,
const bool use2ndOrderCoriolis = false) {
Pose3 pose_j = Pose3();
LieVector vel_j = LieVector();
imuBias::ConstantBias bias_j = imuBias::ConstantBias();
predict(pose_i, vel_i, pose_j, vel_j,
bias_i, bias_j,
preintegratedMeasurements,
gravity, omegaCoriolis, body_P_sensor,
use2ndOrderCoriolis);
return bias_j;
} }