mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-01 17:10:26 +08:00
Added odometry honolomic parameter
This commit is contained in:
@@ -77,6 +77,7 @@ private:
|
||||
float _maxDepth;
|
||||
int _resetCountdown;
|
||||
bool _force2D;
|
||||
bool _holonomic;
|
||||
bool _particleFiltering;
|
||||
int _particleSize;
|
||||
float _particleNoiseT;
|
||||
|
||||
@@ -322,6 +322,7 @@ class RTABMAP_EXP Parameters
|
||||
RTABMAP_PARAM(Odom, ResetCountdown, int, 0, "Automatically reset odometry after X consecutive images on which odometry cannot be computed (value=0 disables auto-reset).");
|
||||
RTABMAP_PARAM_STR(Odom, RoiRatios, "0.0 0.0 0.0 0.0", "Region of interest ratios [left, right, top, bottom].");
|
||||
RTABMAP_PARAM(Odom, Force2D, bool, false, "Force 2D transform (3Dof: x,y and yaw).");
|
||||
RTABMAP_PARAM(Odom, Holonomic, bool, true, "If the robot is holonomic (strafing commands can be issued). If not, y value will be estimated from x and yaw values (y=x*tan(yaw)).");
|
||||
RTABMAP_PARAM(Odom, FillInfoData, bool, true, "Fill info with data (inliers/outliers features).");
|
||||
RTABMAP_PARAM(Odom, ImageBufferSize, unsigned int, 1, "Data buffer size (0 min inf).");
|
||||
RTABMAP_PARAM(Odom, PnPEstimation, bool, false, "(PnP) Pose estimation from 2D to 3D correspondences instead of 3D to 3D correspondences.");
|
||||
|
||||
@@ -43,6 +43,7 @@ Odometry::Odometry(const rtabmap::ParametersMap & parameters) :
|
||||
_maxDepth(Parameters::defaultOdomMaxDepth()),
|
||||
_resetCountdown(Parameters::defaultOdomResetCountdown()),
|
||||
_force2D(Parameters::defaultOdomForce2D()),
|
||||
_holonomic(Parameters::defaultOdomHolonomic()),
|
||||
_particleFiltering(Parameters::defaultOdomParticleFiltering()),
|
||||
_particleSize(Parameters::defaultOdomParticleSize()),
|
||||
_particleNoiseT(Parameters::defaultOdomParticleNoiseT()),
|
||||
@@ -66,6 +67,7 @@ Odometry::Odometry(const rtabmap::ParametersMap & parameters) :
|
||||
Parameters::parse(parameters, Parameters::kOdomMaxDepth(), _maxDepth);
|
||||
Parameters::parse(parameters, Parameters::kOdomRoiRatios(), _roiRatios);
|
||||
Parameters::parse(parameters, Parameters::kOdomForce2D(), _force2D);
|
||||
Parameters::parse(parameters, Parameters::kOdomHolonomic(), _holonomic);
|
||||
Parameters::parse(parameters, Parameters::kOdomFillInfoData(), _fillInfoData);
|
||||
Parameters::parse(parameters, Parameters::kOdomPnPEstimation(), _pnpEstimation);
|
||||
Parameters::parse(parameters, Parameters::kOdomPnPReprojError(), _pnpReprojError);
|
||||
@@ -191,7 +193,7 @@ Transform Odometry::process(const SensorData & data, OdometryInfo * info)
|
||||
{
|
||||
_resetCurrentCount = _resetCountdown;
|
||||
|
||||
if(_force2D || filters_.size())
|
||||
if(_force2D || !_holonomic || filters_.size())
|
||||
{
|
||||
float x,y,z, roll,pitch,yaw;
|
||||
t.getTranslationAndEulerAngles(x, y, z, roll, pitch, yaw);
|
||||
@@ -211,8 +213,15 @@ Transform Odometry::process(const SensorData & data, OdometryInfo * info)
|
||||
else
|
||||
{
|
||||
x = filters_[0]->filter(x);
|
||||
y = filters_[1]->filter(y);
|
||||
yaw = filters_[5]->filter(yaw);
|
||||
if(_holonomic)
|
||||
{
|
||||
y = filters_[1]->filter(y);
|
||||
}
|
||||
else
|
||||
{
|
||||
y = x * tan(yaw);
|
||||
}
|
||||
|
||||
if(!_force2D)
|
||||
{
|
||||
@@ -227,13 +236,17 @@ Transform Odometry::process(const SensorData & data, OdometryInfo * info)
|
||||
info->timeParticleFiltering = time.ticks();
|
||||
}
|
||||
}
|
||||
else if(!_holonomic)
|
||||
{
|
||||
y = x * tan(yaw);
|
||||
}
|
||||
UASSERT_MSG(uIsFinite(x) && uIsFinite(y) && uIsFinite(z) &&
|
||||
uIsFinite(roll) && uIsFinite(pitch) && uIsFinite(yaw),
|
||||
uFormat("x=%f y=%f z=%f roll=%f pitch=%f yaw=%f org T=%s",
|
||||
x, y, z, roll, pitch, yaw, t.prettyPrint().c_str()).c_str());
|
||||
t = Transform(x,y,_force2D?0:z, _force2D?0:roll,_force2D?0:pitch,yaw);
|
||||
|
||||
if(info)
|
||||
if(info && filters_.size())
|
||||
{
|
||||
info->transformFiltered = t;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user