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!419
Resolve "Processor motion model"
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Joan Vallvé Navarro
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3 years ago
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3a1b1bbe
new implementation computing azimuth and elevation
· 3a1b1bbe
Joan Vallvé Navarro
authored
3 years ago
include/core/factor/factor_velocity_local_direction_3d.h
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#ifndef FACTOR_VELOCITY_LOCAL_DIRECTION_3D_H_
#define FACTOR_VELOCITY_LOCAL_DIRECTION_3D_H_
//Wolf includes
#include
"core/factor/factor_autodiff.h"
#include
"core/frame/frame_base.h"
#include
"core/math/rotations.h"
namespace
wolf
{
WOLF_PTR_TYPEDEFS
(
FactorVelocityLocalDirection3d
);
//class
class
FactorVelocityLocalDirection3d
:
public
FactorAutodiff
<
FactorVelocityLocalDirection3d
,
2
,
3
,
4
>
{
protected:
double
min_vel_sq_norm_
;
// stored in squared norm for efficiency
int
orthogonal_axis_
;
// 0: X, 1: Y, 2: Z
public:
FactorVelocityLocalDirection3d
(
FeatureBasePtr
_ftr_ptr
,
const
double
&
_min_vel_norm
,
const
ProcessorBasePtr
&
_processor_ptr
,
bool
_apply_loss_function
,
FactorStatus
_status
=
FAC_ACTIVE
);
~
FactorVelocityLocalDirection3d
()
override
=
default
;
template
<
typename
T
>
bool
operator
()(
const
T
*
const
_v
,
const
T
*
const
_o
,
T
*
_residuals
)
const
;
template
<
typename
T
>
Eigen
::
Matrix
<
T
,
2
,
1
>
computeElevationAzimuth
(
const
Eigen
::
Matrix
<
T
,
3
,
1
>
vector
)
const
{
Eigen
::
Matrix
<
T
,
2
,
1
>
elev_azim
;
// plane YZ
if
(
orthogonal_axis_
==
0
)
{
elev_azim
(
0
)
=
asin
(
vector
(
0
)
/
vector
.
norm
());
elev_azim
(
1
)
=
atan2
(
vector
(
2
),
vector
(
1
));
}
// plane XZ
if
(
orthogonal_axis_
==
1
)
{
elev_azim
(
0
)
=
asin
(
vector
(
1
)
/
vector
.
norm
());
elev_azim
(
1
)
=
atan2
(
vector
(
0
),
vector
(
2
));
}
// plane XY
if
(
orthogonal_axis_
==
2
)
{
elev_azim
(
0
)
=
asin
(
vector
(
2
)
/
vector
.
norm
());
elev_azim
(
1
)
=
atan2
(
vector
(
1
),
vector
(
0
));
}
return
elev_azim
;
}
};
FactorVelocityLocalDirection3d
::
FactorVelocityLocalDirection3d
(
FeatureBasePtr
_ftr_ptr
,
const
double
&
_min_vel_norm
,
const
ProcessorBasePtr
&
_processor_ptr
,
bool
_apply_loss_function
,
FactorStatus
_status
)
:
FactorAutodiff
<
FactorVelocityLocalDirection3d
,
2
,
3
,
4
>
(
"FactorVelocityLocalDirection3d"
,
TOP_ABS
,
_ftr_ptr
,
nullptr
,
nullptr
,
nullptr
,
nullptr
,
_processor_ptr
,
_apply_loss_function
,
_status
,
_ftr_ptr
->
getFrame
()
->
getV
(),
_ftr_ptr
->
getFrame
()
->
getO
()),
min_vel_sq_norm_
(
_min_vel_norm
*
_min_vel_norm
)
{
MatrixSizeCheck
<
3
,
1
>::
check
(
_ftr_ptr
->
getMeasurement
());
MatrixSizeCheck
<
1
,
1
>::
check
(
_ftr_ptr
->
getMeasurementSquareRootInformationUpper
());
/* Decide the plane (two axis A1, A2 from X, Y, Z in local coordinates) in which compute elevation and azimuth
* - elevation w.r.t. the plane
* - azimuth computed with atan2(A2, A1)
*
* This is done to avoid the degenerated case: elevation = +/-PI/2
* We select the orthogonal axis as the farthest to the desired velocity in local coordinates,
* so the component one with lower value.
*/
measurement_
.
minCoeff
(
&
orthogonal_axis_
);
// measurement: elevation & azimuth (w.r.t. selected plane)
measurement_
=
computeElevationAzimuth
(
Eigen
::
Vector3d
(
measurement_
));
measurement_sqrt_information_upper_
=
Matrix2d
::
Identity
()
*
measurement_sqrt_information_upper_
(
0
,
0
);
}
template
<
typename
T
>
inline
bool
FactorVelocityLocalDirection3d
::
operator
()(
const
T
*
const
_v
,
const
T
*
const
_q
,
T
*
_residuals
)
const
{
Eigen
::
Map
<
const
Eigen
::
Matrix
<
T
,
3
,
1
>
>
v
(
_v
);
Eigen
::
Map
<
const
Eigen
::
Quaternion
<
T
>
>
q
(
_q
);
Eigen
::
Map
<
Eigen
::
Matrix
<
T
,
2
,
1
>
>
residuals
(
_residuals
);
if
(
v
.
squaredNorm
()
<
min_vel_sq_norm_
)
{
_residuals
[
0
]
=
T
(
0
);
return
true
;
}
// std::cout << "----------\n";
// std::cout << "desired elevation: " << getMeasurement()(0) << "\n";
// std::cout << "desired azimuth: " << getMeasurement()(1) << "\n";
// std::cout << "v: \n\t" << v(0) << "\n\t"
// << v(1) << "\n\t"
// << v(2) << "\n";
//
// std::cout << "q: \n\t" << q.coeffs()(0) << "\n\t"
// << q.coeffs()(1) << "\n\t"
// << q.coeffs()(2) << "\n\t"
// << q.coeffs()(3) << "\n";
Eigen
::
Matrix
<
T
,
3
,
1
>
v_local
=
q
.
conjugate
()
*
v
;
// std::cout << "v (local): \n\t" << v_local(0) << "\n\t"
// << v_local(1) << "\n\t"
// << v_local(2) << "\n";
// expectation
Eigen
::
Matrix
<
T
,
2
,
1
>
exp_elev_azim
=
computeElevationAzimuth
(
v_local
);
// std::cout << "expected elevation: " << exp_elev_azim(0) << "\n";
// std::cout << "expected azimuth: " << exp_elev_azim(1) << "\n";
// error
Eigen
::
Matrix
<
T
,
2
,
1
>
error
=
getMeasurement
()
-
exp_elev_azim
;
pi2pi
(
error
(
1
));
// std::cout << "error (corrected): \n\t" << error(0) << "\n\t"
// << error(1) << "\n;
// residuals
residuals
=
getMeasurementSquareRootInformationUpper
()
*
error
;
// std::cout << "residuals: \n\t" << residuals(0) << "\n\t"
// << residuals(1) << "\n;
return
true
;
}
}
// namespace wolf
#endif
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