0.18.2: Added Odom/GuessSmoothingDelay parameter

This commit is contained in:
matlabbe
2018-11-21 11:57:04 -05:00
parent 5ae2f487b4
commit b862d6bc48
11 changed files with 184 additions and 63 deletions
+1 -1
View File
@@ -21,7 +21,7 @@ SET(CMAKE_MODULE_PATH "${PROJECT_SOURCE_DIR}/cmake_modules")
#######################
SET(RTABMAP_MAJOR_VERSION 0)
SET(RTABMAP_MINOR_VERSION 18)
SET(RTABMAP_PATCH_VERSION 1)
SET(RTABMAP_PATCH_VERSION 2)
SET(RTABMAP_VERSION
${RTABMAP_MAJOR_VERSION}.${RTABMAP_MINOR_VERSION}.${RTABMAP_PATCH_VERSION})
+5 -2
View File
@@ -70,7 +70,8 @@ public:
//getters
const Transform & getPose() const {return _pose;}
bool isInfoDataFilled() const {return _fillInfoData;}
const Transform & previousVelocityTransform() const {return previousVelocityTransform_;}
RTABMAP_DEPRECATED(const Transform & previousVelocityTransform() const, "Use getVelocityGuess() instead.");
const Transform & getVelocityGuess() const {return velocityGuess_;}
double previousStamp() const {return previousStamp_;}
unsigned int framesProcessed() const {return framesProcessed_;}
bool imagesAlreadyRectified() const {return _imagesAlreadyRectified;}
@@ -87,6 +88,7 @@ private:
bool _force3DoF;
bool _holonomic;
bool guessFromMotion_;
bool guessSmoothingDelay_;
int _filteringStrategy;
int _particleSize;
float _particleNoiseT;
@@ -103,7 +105,8 @@ private:
Transform _pose;
int _resetCurrentCount;
double previousStamp_;
Transform previousVelocityTransform_;
std::list<std::pair<std::vector<float>, double> > previousVelocities_;
Transform velocityGuess_;
Transform previousGroundTruthPose_;
float distanceTravelled_;
unsigned int framesProcessed_;
@@ -106,6 +106,7 @@ public:
Transform transform;
Transform transformFiltered;
Transform transformGroundTruth;
Transform guessVelocity;
float distanceTravelled;
int memoryUsage; //MB
@@ -413,6 +413,7 @@ class RTABMAP_EXP Parameters
RTABMAP_PARAM(Odom, KalmanProcessNoise, float, 0.001, "Process noise covariance value.");
RTABMAP_PARAM(Odom, KalmanMeasurementNoise, float, 0.01, "Process measurement covariance value.");
RTABMAP_PARAM(Odom, GuessMotion, bool, true, "Guess next transformation from the last motion computed.");
RTABMAP_PARAM(Odom, GuessSmoothingDelay, float, 1.0, uFormat("Guess smoothing delay (s). Estimated velocity is averaged based on last transforms up to this maximum delay. This can help to get smoother velocity prediction. Last velocity computed is used directly if \"%s\" is set or the delay is below the odometry rate.", kOdomFilteringStrategy().c_str()));
RTABMAP_PARAM(Odom, KeyFrameThr, float, 0.3, "[Visual] Create a new keyframe when the number of inliers drops under this ratio of features in last frame. Setting the value to 0 means that a keyframe is created for each processed frame.");
RTABMAP_PARAM(Odom, VisKeyFrameThr, int, 150, "[Visual] Create a new keyframe when the number of inliers drops under this threshold. Setting the value to 0 means that a keyframe is created for each processed frame.");
RTABMAP_PARAM(Odom, ScanKeyFrameThr, float, 0.9, "[Geometry] Create a new keyframe when the number of ICP inliers drops under this ratio of points in last frame's scan. Setting the value to 0 means that a keyframe is created for each processed frame.");
+75 -13
View File
@@ -101,6 +101,7 @@ Odometry::Odometry(const rtabmap::ParametersMap & parameters) :
_force3DoF(Parameters::defaultRegForce3DoF()),
_holonomic(Parameters::defaultOdomHolonomic()),
guessFromMotion_(Parameters::defaultOdomGuessMotion()),
guessSmoothingDelay_(Parameters::defaultOdomGuessSmoothingDelay()),
_filteringStrategy(Parameters::defaultOdomFilteringStrategy()),
_particleSize(Parameters::defaultOdomParticleSize()),
_particleNoiseT(Parameters::defaultOdomParticleNoiseT()),
@@ -125,6 +126,7 @@ Odometry::Odometry(const rtabmap::ParametersMap & parameters) :
Parameters::parse(parameters, Parameters::kRegForce3DoF(), _force3DoF);
Parameters::parse(parameters, Parameters::kOdomHolonomic(), _holonomic);
Parameters::parse(parameters, Parameters::kOdomGuessMotion(), guessFromMotion_);
Parameters::parse(parameters, Parameters::kOdomGuessSmoothingDelay(), guessSmoothingDelay_);
Parameters::parse(parameters, Parameters::kOdomFillInfoData(), _fillInfoData);
Parameters::parse(parameters, Parameters::kOdomFilteringStrategy(), _filteringStrategy);
Parameters::parse(parameters, Parameters::kOdomParticleSize(), _particleSize);
@@ -182,7 +184,8 @@ Odometry::~Odometry()
void Odometry::reset(const Transform & initialPose)
{
UASSERT(!initialPose.isNull());
previousVelocityTransform_.setNull();
previousVelocities_.clear();
velocityGuess_.setNull();
previousGroundTruthPose_.setNull();
_resetCurrentCount = 0;
previousStamp_ = 0;
@@ -232,6 +235,37 @@ void Odometry::reset(const Transform & initialPose)
}
}
const Transform & Odometry::previousVelocityTransform() const
{
return getVelocityGuess();
}
Transform getMeanVelocity(const std::list<std::pair<std::vector<float>, double> > & transforms)
{
if(transforms.size())
{
float tvx=0.0f,tvy=0.0f,tvz=0.0f, tvroll=0.0f,tvpitch=0.0f,tvyaw=0.0f;
for(std::list<std::pair<std::vector<float>, double> >::const_iterator iter=transforms.begin(); iter!=transforms.end(); ++iter)
{
UASSERT(iter->first.size() == 6);
tvx+=iter->first[0];
tvy+=iter->first[1];
tvz+=iter->first[2];
tvroll+=iter->first[3];
tvpitch+=iter->first[4];
tvyaw+=iter->first[5];
}
tvx/=float(transforms.size());
tvy/=float(transforms.size());
tvz/=float(transforms.size());
tvroll/=float(transforms.size());
tvpitch/=float(transforms.size());
tvyaw/=float(transforms.size());
return Transform(tvx, tvy, tvz, tvroll, tvpitch, tvyaw);
}
return Transform();
}
Transform Odometry::process(SensorData & data, OdometryInfo * info)
{
return process(data, Transform(), info);
@@ -313,21 +347,22 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
// KITTI datasets start with stamp=0
double dt = previousStamp_>0.0f || (previousStamp_==0.0f && framesProcessed()==1)?data.stamp() - previousStamp_:0.0;
Transform guess = dt>0.0 && guessFromMotion_ && !previousVelocityTransform_.isNull()?Transform::getIdentity():Transform();
if(!(dt>0.0 || (dt == 0.0 && previousVelocityTransform_.isNull())))
Transform guess = dt>0.0 && guessFromMotion_ && !velocityGuess_.isNull()?Transform::getIdentity():Transform();
if(!(dt>0.0 || (dt == 0.0 && velocityGuess_.isNull())))
{
if(guessFromMotion_ && (!data.imageRaw().empty() || !data.laserScanRaw().isEmpty()))
{
UERROR("Guess from motion is set but dt is invalid! Odometry is then computed without guess. (dt=%f previous transform=%s)", dt, previousVelocityTransform_.prettyPrint().c_str());
UERROR("Guess from motion is set but dt is invalid! Odometry is then computed without guess. (dt=%f previous transform=%s)", dt, velocityGuess_.prettyPrint().c_str());
}
else if(_filteringStrategy==1)
{
UERROR("Kalman filtering is enabled but dt is invalid! Odometry is then computed without Kalman filtering. (dt=%f previous transform=%s)", dt, previousVelocityTransform_.prettyPrint().c_str());
UERROR("Kalman filtering is enabled but dt is invalid! Odometry is then computed without Kalman filtering. (dt=%f previous transform=%s)", dt, velocityGuess_.prettyPrint().c_str());
}
dt=0;
previousVelocityTransform_.setNull();
previousVelocities_.clear();
velocityGuess_.setNull();
}
if(!previousVelocityTransform_.isNull())
if(!velocityGuess_.isNull())
{
if(guessFromMotion_)
{
@@ -341,7 +376,7 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
else
{
float vx,vy,vz, vroll,vpitch,vyaw;
previousVelocityTransform_.getTranslationAndEulerAngles(vx,vy,vz, vroll,vpitch,vyaw);
velocityGuess_.getTranslationAndEulerAngles(vx,vy,vz, vroll,vpitch,vyaw);
guess = Transform(vx*dt, vy*dt, vz*dt, vroll*dt, vpitch*dt, vyaw*dt);
}
}
@@ -460,7 +495,7 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
{
if(_filteringStrategy == 1)
{
if(previousVelocityTransform_.isNull())
if(velocityGuess_.isNull())
{
// reset Kalman
if(dt)
@@ -482,7 +517,7 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
{
// Particle filtering
UASSERT(particleFilters_.size()==6);
if(previousVelocityTransform_.isNull())
if(velocityGuess_.isNull())
{
particleFilters_[0]->init(vx);
particleFilters_[1]->init(vy);
@@ -564,17 +599,43 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
}
previousStamp_ = data.stamp();
previousVelocityTransform_.setNull();
if(dt)
{
previousVelocityTransform_ = Transform(vx, vy, vz, vroll, vpitch, vyaw);
if(dt >=guessSmoothingDelay_/2.0 || particleFilters_.size() || _filteringStrategy==1)
{
velocityGuess_ = Transform(vx, vy, vz, vroll, vpitch, vyaw);
previousVelocities_.clear();
}
else
{
// smooth velocity estimation over the past X seconds
std::vector<float> v(6);
v[0] = vx;
v[1] = vy;
v[2] = vz;
v[3] = vroll;
v[4] = vpitch;
v[5] = vyaw;
previousVelocities_.push_back(std::make_pair(v, data.stamp()));
while(previousVelocities_.size() > 1 && previousVelocities_.front().second < previousVelocities_.back().second-guessSmoothingDelay_)
{
previousVelocities_.pop_front();
}
velocityGuess_ = getMeanVelocity(previousVelocities_);
}
}
else
{
previousVelocities_.clear();
velocityGuess_.setNull();
}
if(info)
{
distanceTravelled_ += t.getNorm();
info->distanceTravelled = distanceTravelled_;
info->guessVelocity = velocityGuess_;
}
++framesProcessed_;
@@ -592,7 +653,8 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
}
}
previousVelocityTransform_.setNull();
previousVelocities_.clear();
velocityGuess_.setNull();
previousStamp_ = 0;
return Transform();
+8 -1
View File
@@ -466,7 +466,14 @@ Transform OdometryF2M::computeTransform(
}
if(!regInfo.rejectedMsg.empty())
{
UWARN("Registration failed: \"%s\"", regInfo.rejectedMsg.c_str());
if(guess.isNull())
{
UWARN("Registration failed: \"%s\"", regInfo.rejectedMsg.c_str());
}
else
{
UWARN("Registration failed: \"%s\" (guess=%s)", regInfo.rejectedMsg.c_str(), guess.prettyPrint().c_str());
}
}
else
{
+4 -2
View File
@@ -272,13 +272,14 @@ GraphViewer::GraphViewer(QWidget * parent) :
_originReferential = new QGraphicsItemGroup();
this->scene()->addItem(_originReferential); // ownership transfered
QGraphicsLineItem * item = this->scene()->addLine(0,0,0,-100, QPen(QBrush(Qt::red), _linkWidth));
item->setZValue(100);
item->setZValue(1);
item->setParentItem(_root);
_originReferential->addToGroup(item);
item = this->scene()->addLine(0,0,-100,0, QPen(QBrush(Qt::green), _linkWidth));
item->setZValue(100);
item->setZValue(1);
item->setParentItem(_root);
_originReferential->addToGroup(item);
_originReferential->setZValue(1);
_originReferential->setParentItem(_root);
// current pose
@@ -292,6 +293,7 @@ GraphViewer::GraphViewer(QWidget * parent) :
item->setZValue(100);
item->setParentItem(_root);
_referential->addToGroup(item);
_referential->setZValue(100);
_referential->setParentItem(_root);
_localRadius = this->scene()->addEllipse(-0.0001,-0.0001,0.0001,0.0001);
+13 -1
View File
@@ -599,6 +599,9 @@ MainWindow::MainWindow(PreferencesDialog * prefDialog, QWidget * parent, bool sh
_ui->statsToolBox->updateStat("Odometry/KeyFrameAdded/", false);
_ui->statsToolBox->updateStat("Odometry/Interval/ms", false);
_ui->statsToolBox->updateStat("Odometry/Speed/kph", false);
_ui->statsToolBox->updateStat("Odometry/Speed/mps", false);
_ui->statsToolBox->updateStat("Odometry/SpeedGuess/kph", false);
_ui->statsToolBox->updateStat("Odometry/SpeedGuess/mps", false);
_ui->statsToolBox->updateStat("Odometry/Distance/m", false);
_ui->statsToolBox->updateStat("Odometry/Tx/m", false);
_ui->statsToolBox->updateStat("Odometry/Ty/m", false);
@@ -1484,6 +1487,14 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
{
_ui->statsToolBox->updateStat("Odometry/Interval/ms", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), odom.info().interval*1000.f, _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/Speed/kph", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x/odom.info().interval*3.6f, _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/Speed/mps", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x/odom.info().interval, _preferencesDialog->isCacheSavedInFigures());
}
if(!odom.info().guessVelocity.isNull())
{
odom.info().guessVelocity.getTranslationAndEulerAngles(x,y,z,roll,pitch,yaw);
_ui->statsToolBox->updateStat("Odometry/SpeedGuess/kph", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x*3.6f, _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/SpeedGuess/mps", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x, _preferencesDialog->isCacheSavedInFigures());
}
if(!odom.info().transformGroundTruth.isNull())
@@ -1498,6 +1509,7 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
if(odom.info().interval > 0)
{
_ui->statsToolBox->updateStat("Odometry/SpeedG/kph", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x/odom.info().interval*3.6f, _preferencesDialog->isCacheSavedInFigures());
_ui->statsToolBox->updateStat("Odometry/SpeedG/mps", _preferencesDialog->isTimeUsedInFigures()?odom.data().stamp()-_firstStamp:(float)odom.data().id(), x/odom.info().interval, _preferencesDialog->isCacheSavedInFigures());
}
}
@@ -4068,7 +4080,7 @@ void MainWindow::applyPrefSettings(const rtabmap::ParametersMap & parameters)
void MainWindow::applyPrefSettings(const rtabmap::ParametersMap & parameters, bool postParamEvent)
{
ULOGGER_DEBUG("");
_occupancyGrid->parseParameters(parameters);
_occupancyGrid->parseParameters(_preferencesDialog->getAllParameters());
if(parameters.size())
{
for(rtabmap::ParametersMap::const_iterator iter = parameters.begin(); iter!=parameters.end(); ++iter)
+1
View File
@@ -1026,6 +1026,7 @@ PreferencesDialog::PreferencesDialog(QWidget * parent) :
_ui->odom_VisKeyFrameThr->setObjectName(Parameters::kOdomVisKeyFrameThr().c_str());
_ui->odom_flow_scanKeyframeThr->setObjectName(Parameters::kOdomScanKeyFrameThr().c_str());
_ui->odom_flow_guessMotion->setObjectName(Parameters::kOdomGuessMotion().c_str());
_ui->odom_guess_smoothing_delay->setObjectName(Parameters::kOdomGuessSmoothingDelay().c_str());
_ui->odom_imageDecimation->setObjectName(Parameters::kOdomImageDecimation().c_str());
_ui->odom_alignWithGround->setObjectName(Parameters::kOdomAlignWithGround().c_str());
+74 -42
View File
@@ -94,9 +94,9 @@
<property name="geometry">
<rect>
<x>0</x>
<y>-812</y>
<width>681</width>
<height>2983</height>
<y>0</y>
<width>680</width>
<height>2986</height>
</rect>
</property>
<layout class="QVBoxLayout" name="verticalLayout_16">
@@ -126,7 +126,7 @@
<enum>QFrame::Raised</enum>
</property>
<property name="currentIndex">
<number>5</number>
<number>18</number>
</property>
<widget class="QWidget" name="page_22">
<layout class="QVBoxLayout" name="verticalLayout_29" stretch="0,1">
@@ -11101,7 +11101,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="10" column="1">
<item row="11" column="1">
<widget class="QLabel" name="label_196">
<property name="text">
<string>[Visual] Create a new keyframe when the number of inliers drops under this ratio of features in last frame. Setting the value to 0 means that a keyframe is created for each processed frame.</string>
@@ -11114,7 +11114,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="11" column="1">
<item row="12" column="1">
<widget class="QLabel" name="label_246">
<property name="text">
<string>[Geometry] Create a new keyframe when the number of inliers drops under this threshold. Setting value to 0 means that a keyframe is created for each processed frame.</string>
@@ -11232,14 +11232,14 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="12" column="0">
<item row="13" column="0">
<widget class="QSpinBox" name="odom_dataBufferSize">
<property name="maximum">
<number>999999</number>
</property>
</widget>
</item>
<item row="13" column="0">
<item row="14" column="0">
<widget class="QPushButton" name="pushButton_testOdometry">
<property name="text">
<string>Test odometry</string>
@@ -11259,7 +11259,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="12" column="1">
<item row="13" column="1">
<widget class="QLabel" name="label_232">
<property name="text">
<string>Data buffer size (0 means inf).</string>
@@ -11272,6 +11272,16 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="9" column="0">
<widget class="QSpinBox" name="odom_imageDecimation">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
</widget>
</item>
<item row="3" column="1">
<widget class="QLabel" name="label_47">
<property name="text">
@@ -11285,7 +11295,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="8" column="1">
<item row="9" column="1">
<widget class="QLabel" name="label_248">
<property name="text">
<string>Decimation of images before features extraction. Negative decimation is done from RGB size instead of depth size (if depth is smaller than RGB, it may be interpolated depending of the decimation value).</string>
@@ -11298,16 +11308,6 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="8" column="0">
<widget class="QSpinBox" name="odom_imageDecimation">
<property name="minimum">
<number>-32</number>
</property>
<property name="maximum">
<number>32</number>
</property>
</widget>
</item>
<item row="5" column="0">
<widget class="QComboBox" name="odom_filteringStrategy">
<property name="sizeAdjustPolicy">
@@ -11330,7 +11330,14 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</item>
</widget>
</item>
<item row="10" column="0">
<item row="6" column="0">
<widget class="QCheckBox" name="odom_fillInfoData">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="11" column="0">
<widget class="QDoubleSpinBox" name="odom_flow_keyframeThr">
<property name="maximum">
<double>1.000000000000000</double>
@@ -11343,6 +11350,13 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="4" column="0">
<widget class="QCheckBox" name="odom_holonomic">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="5" column="1">
<widget class="QLabel" name="label_233">
<property name="text">
@@ -11356,21 +11370,14 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="6" column="0">
<widget class="QCheckBox" name="odom_fillInfoData">
<property name="text">
<string/>
<item row="3" column="0">
<widget class="QSpinBox" name="odom_countdown">
<property name="maximum">
<number>999999</number>
</property>
</widget>
</item>
<item row="4" column="0">
<widget class="QCheckBox" name="odom_holonomic">
<property name="text">
<string/>
</property>
</widget>
</item>
<item row="11" column="0">
<item row="12" column="0">
<widget class="QDoubleSpinBox" name="odom_flow_scanKeyframeThr">
<property name="maximum">
<double>1.000000000000000</double>
@@ -11383,13 +11390,6 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="3" column="0">
<widget class="QSpinBox" name="odom_countdown">
<property name="maximum">
<number>999999</number>
</property>
</widget>
</item>
<item row="1" column="1">
<widget class="QLabel" name="label_351">
<property name="text">
@@ -11433,7 +11433,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</item>
</widget>
</item>
<item row="9" column="1">
<item row="10" column="1">
<widget class="QLabel" name="label_354">
<property name="text">
<string>[Visual] Create a new keyframe when the number of inliers drops under this threshold. Setting the value to 0 means that a keyframe is created for each processed frame.</string>
@@ -11446,7 +11446,7 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="9" column="0">
<item row="10" column="0">
<widget class="QSpinBox" name="odom_VisKeyFrameThr">
<property name="maximum">
<number>9999</number>
@@ -11456,6 +11456,38 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="8" column="1">
<widget class="QLabel" name="label_520">
<property name="text">
<string>Guess smoothing delay (s). Estimated velocity is averaged based on last transforms up to this maximum delay. This can help to get smoother velocity prediction. Last velocity computed is used directly if a filtering strategy is set or the delay is below the odometry rate.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="8" column="0">
<widget class="QDoubleSpinBox" name="odom_guess_smoothing_delay">
<property name="suffix">
<string> s</string>
</property>
<property name="decimals">
<number>3</number>
</property>
<property name="maximum">
<double>10.000000000000000</double>
</property>
<property name="singleStep">
<double>0.100000000000000</double>
</property>
<property name="value">
<double>1.000000000000000</double>
</property>
</widget>
</item>
</layout>
</item>
<item>
+1 -1
View File
@@ -1,7 +1,7 @@
<?xml version="1.0"?>
<package>
<name>rtabmap</name>
<version>0.18.1</version>
<version>0.18.2</version>
<description>RTAB-Map's standalone library. RTAB-Map is a RGB-D SLAM approach with real-time constraints.</description>
<maintainer email="[email protected]">Mathieu Labbe</maintainer>
<author>Mathieu Labbe</author>