Added Occupancy class. Database SQL: added ground_cells, obstacle_cells and cell_size fields to Node table (updated Signature too).

This commit is contained in:
matlabbe
2016-08-14 19:19:32 -04:00
parent b947bde3db
commit af02e02978
12 changed files with 418 additions and 2 deletions

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@@ -64,6 +64,8 @@ SET(SRC_FILES
Stereo.cpp
StereoDense.cpp
StereoCameraModel.cpp
Occupancy.cpp
rtflann/ext/lz4.c
rtflann/ext/lz4hc.c

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@@ -57,6 +57,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#include "rtabmap/core/Compression.h"
#include "rtabmap/core/Graph.h"
#include "rtabmap/core/Stereo.h"
#include "rtabmap/core/Occupancy.h"
#include <pcl/io/pcd_io.h>
#include <pcl/common/common.h>
@@ -91,6 +92,7 @@ Memory::Memory(const ParametersMap & parameters) :
_rehearsalMaxAngle(Parameters::defaultRGBDAngularUpdate()),
_rehearsalWeightIgnoredWhileMoving(Parameters::defaultMemRehearsalWeightIgnoredWhileMoving()),
_useOdometryFeatures(Parameters::defaultMemUseOdomFeatures()),
_createOccupancyGrid(Parameters::defaultMemCreateOccupancyGrid()),
_idCount(kIdStart),
_idMapCount(kIdStart),
_lastSignature(0),
@@ -107,6 +109,7 @@ Memory::Memory(const ParametersMap & parameters) :
_vwd = new VWDictionary(parameters);
_registrationPipeline = Registration::create(parameters);
_registrationIcp = new RegistrationIcp(parameters);
_occupancy = new Occupancy(parameters);
this->parseParameters(parameters);
}
@@ -376,6 +379,10 @@ Memory::~Memory()
{
delete _registrationIcp;
}
if(_occupancy)
{
delete _occupancy;
}
}
void Memory::parseParameters(const ParametersMap & parameters)
@@ -406,6 +413,7 @@ void Memory::parseParameters(const ParametersMap & parameters)
Parameters::parse(parameters, Parameters::kRGBDAngularUpdate(), _rehearsalMaxAngle);
Parameters::parse(parameters, Parameters::kMemRehearsalWeightIgnoredWhileMoving(), _rehearsalWeightIgnoredWhileMoving);
Parameters::parse(parameters, Parameters::kMemUseOdomFeatures(), _useOdometryFeatures);
Parameters::parse(parameters, Parameters::kMemCreateOccupancyGrid(), _createOccupancyGrid);
UASSERT_MSG(_maxStMemSize >= 0, uFormat("value=%d", _maxStMemSize).c_str());
UASSERT_MSG(_similarityThreshold >= 0.0f && _similarityThreshold <= 1.0f, uFormat("value=%f", _similarityThreshold).c_str());
@@ -479,6 +487,11 @@ void Memory::parseParameters(const ParametersMap & parameters)
_registrationIcp->parseParameters(parameters);
}
if(_occupancy)
{
_occupancy->parseParameters(parameters);
}
// do this after all parameters are parsed
// SLAM mode vs Localization mode
iter = parameters.find(Parameters::kMemIncrementalMemory());
@@ -3481,6 +3494,10 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
{
stereoCameraModel.scale(1.0/double(_imagePostDecimation));
}
t = timer.ticks();
if(stats) stats->addStatistic(Statistics::kTimingMemPost_decimation(), t*1000.0f);
UDEBUG("time post-decimation = %fs", t);
}
// downsampling the laser scan?
@@ -3490,6 +3507,10 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
{
laserScan = util3d::downsample(laserScan, _laserScanDownsampleStepSize);
maxLaserScanMaxPts /= _laserScanDownsampleStepSize;
t = timer.ticks();
if(stats) stats->addStatistic(Statistics::kTimingMemDownsampling_scan(), t*1000.0f);
UDEBUG("time downsampling scan = %fs", t);
}
Signature * s;
@@ -3611,6 +3632,21 @@ Signature * Memory::createSignature(const SensorData & data, const Transform & p
{
s->setEnabled(true); // All references are already activated in the dictionary at this point (see _vwd->addNewWords())
}
// Occupancy grid map stuff
/*cv::Mat ground, obstacles;
float cellSize = 0.0f;
if(_createOccupancyGrid)
{
_occupancy->segment(s->sensorData(), ground, obstacles);
cellSize = _occupancy->getCellSize();
t = timer.ticks();
if(stats) stats->addStatistic(Statistics::kTimingMemOccupancy_grid(), t*1000.0f);
UDEBUG("time grid map (%d) = %fs", t);
}
s->setOccupancyGrid(ground, obstacles, cellSize);
*/
return s;
}

201
corelib/src/Occupancy.cpp Normal file
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@@ -0,0 +1,201 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <rtabmap/core/Occupancy.h>
#include <rtabmap/core/util3d.h>
#include <rtabmap/core/util3d_mapping.h>
#include <rtabmap/core/util3d_transforms.h>
#include <rtabmap/utilite/ULogger.h>
namespace rtabmap {
Occupancy::Occupancy(const ParametersMap & parameters) :
parameters_(parameters),
cloudDecimation_(Parameters::defaultGridDepthDecimation()),
cloudMaxDepth_(Parameters::defaultGridDepthMax()),
cloudMinDepth_(Parameters::defaultGridDepthMin()),
cellSize_(Parameters::defaultGridCellSize()),
occupancyFromCloud_(Parameters::defaultGridFromDepth()),
projMapFrame_(Parameters::defaultGridMapFrameProjection()),
maxObstacleHeight_(Parameters::defaultGridMaxObstacleHeight()),
maxGroundAngle_(Parameters::defaultGridMaxGroundAngle()),
minClusterSize_(Parameters::defaultGridMinClusterSize()),
flatObstaclesDetected_(Parameters::defaultGridFlatObstacleDetected()),
maxGroundHeight_(Parameters::defaultGridMaxGroundHeight()),
grid3D_(Parameters::defaultGrid3D()),
groundIsObstacle_(Parameters::defaultGrid3DGroundIsObstacle()),
noiseFilteringRadius_(Parameters::defaultGridNoiseFilteringRadius()),
noiseFilteringMinNeighbors_(Parameters::defaultGridNoiseFilteringMinNeighbors())
{
this->parseParameters(parameters);
}
void Occupancy::parseParameters(const ParametersMap & parameters)
{
Parameters::parse(parameters, Parameters::kGridFromDepth(), occupancyFromCloud_);
Parameters::parse(parameters, Parameters::kGridDepthDecimation(), cloudDecimation_);
Parameters::parse(parameters, Parameters::kGridDepthMin(), cloudMinDepth_);
Parameters::parse(parameters, Parameters::kGridDepthMax(), cloudMaxDepth_);
Parameters::parse(parameters, Parameters::kGridCellSize(), cellSize_);
Parameters::parse(parameters, Parameters::kGridMapFrameProjection(), projMapFrame_);
Parameters::parse(parameters, Parameters::kGridMaxObstacleHeight(), maxObstacleHeight_);
Parameters::parse(parameters, Parameters::kGridMaxGroundHeight(), maxGroundHeight_);
Parameters::parse(parameters, Parameters::kGridMaxGroundAngle(), maxGroundAngle_);
Parameters::parse(parameters, Parameters::kGridMinClusterSize(), minClusterSize_);
Parameters::parse(parameters, Parameters::kGridFlatObstacleDetected(), flatObstaclesDetected_);
Parameters::parse(parameters, Parameters::kGrid3D(), grid3D_);
Parameters::parse(parameters, Parameters::kGrid3DGroundIsObstacle(), groundIsObstacle_);
Parameters::parse(parameters, Parameters::kGridNoiseFilteringRadius(), noiseFilteringRadius_);
Parameters::parse(parameters, Parameters::kGridNoiseFilteringMinNeighbors(), noiseFilteringMinNeighbors_);
}
void Occupancy::segment(const Signature & node, cv::Mat & obstacles, cv::Mat & ground)
{
if(!occupancyFromCloud_ && node.sensorData().laserScanRaw().channels() == 2)
{
//2D
util3d::occupancy2DFromLaserScan(
node.sensorData().laserScanRaw(),
ground,
obstacles,
cellSize_);
}
else
{
// 3D
pcl::IndicesPtr indices(new std::vector<int>);
pcl::PointCloud<pcl::PointXYZ>::Ptr cloud;
if(!occupancyFromCloud_)
{
cloud =util3d::laserScanToPointCloud(node.sensorData().laserScanRaw());
}
else
{
cloud = util3d::cloudFromSensorData(
node.sensorData(),
cloudDecimation_,
cloudMaxDepth_,
cloudMinDepth_,
indices.get(),
parameters_);
}
if(cloud->size())
{
// voxelize to grid cell size
cloud = util3d::voxelize(cloud, indices, cellSize_);
indices->clear();
// Do radius filtering after voxel filtering ( a lot faster)
if(noiseFilteringRadius_ > 0.0 &&
noiseFilteringMinNeighbors_ > 0)
{
indices = rtabmap::util3d::radiusFiltering(
cloud,
noiseFilteringRadius_,
noiseFilteringMinNeighbors_);
if(indices->empty())
{
UWARN("Cloud (with %d points) is empty after noise "
"filtering. Occupancy grid of node %d cannot be "
"created.",
(int)cloud->size(), node.id());
return;
}
}
// add pose rotation without yaw
float roll, pitch, yaw;
node.getPose().getEulerAngles(roll, pitch, yaw);
if(indices->size())
{
cloud = util3d::transformPointCloud(cloud, indices, Transform(0,0, projMapFrame_?node.getPose().z():0, roll, pitch, 0));
}
else
{
cloud = util3d::transformPointCloud(cloud, Transform(0,0, projMapFrame_?node.getPose().z():0, roll, pitch, 0));
}
if(maxObstacleHeight_ != 0.0f)
{
cloud = util3d::passThrough(cloud, "z", std::numeric_limits<int>::min(), maxObstacleHeight_);
}
pcl::IndicesPtr groundIndices, obstaclesIndices;
util3d::segmentObstaclesFromGround<pcl::PointXYZ>(
cloud,
groundIndices,
obstaclesIndices,
20,
maxGroundAngle_,
cellSize_*2.0f,
minClusterSize_,
flatObstaclesDetected_,
maxGroundHeight_);
pcl::PointCloud<pcl::PointXYZ>::Ptr groundCloud(new pcl::PointCloud<pcl::PointXYZ>);
pcl::PointCloud<pcl::PointXYZ>::Ptr obstaclesCloud(new pcl::PointCloud<pcl::PointXYZ>);
if(groundIndices->size())
{
pcl::copyPointCloud(*cloud, *groundIndices, *groundCloud);
}
if(obstaclesIndices->size())
{
pcl::copyPointCloud(*cloud, *obstaclesIndices, *obstaclesCloud);
}
if(grid3D_)
{
if(groundIsObstacle_)
{
*obstaclesCloud += *groundCloud;
groundCloud->clear();
}
// transform back in base frame
Transform tinv = Transform(0,0, projMapFrame_?node.getPose().z():0, roll, pitch, 0).inverse();
ground = util3d::laserScanFromPointCloud(*groundCloud, tinv);
obstacles = util3d::laserScanFromPointCloud(*obstaclesCloud, tinv);
}
else
{
// projection on the xy plane
util3d::occupancy2DFromGroundObstacles<pcl::PointXYZ>(
groundCloud,
obstaclesCloud,
ground,
obstacles,
cellSize_);
}
}
}
}
}

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@@ -44,7 +44,8 @@ Signature::Signature() :
_saved(false),
_modified(true),
_linksModified(true),
_enabled(false)
_enabled(false),
_cellSize(0.0f)
{
}
@@ -68,6 +69,7 @@ Signature::Signature(
_enabled(false),
_pose(pose),
_groundTruthPose(groundTruthPose),
_cellSize(0.0f),
_sensorData(sensorData)
{
if(_sensorData.id() == 0)
@@ -89,6 +91,7 @@ Signature::Signature(const SensorData & data) :
_enabled(false),
_pose(Transform::getIdentity()),
_groundTruthPose(data.groundTruth()),
_cellSize(0.0f),
_sensorData(data)
{

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@@ -21,6 +21,9 @@ CREATE TABLE Node (
pose BLOB,
ground_truth_pose BLOB,
label TEXT,
obstacle_cells BLOB,
ground_cells BLOB,
cell_size FLOAT,
time_enter DATE,
PRIMARY KEY (id)
);

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@@ -121,6 +121,43 @@ pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr transformPointCloud(
return output;
}
pcl::PointCloud<pcl::PointXYZ>::Ptr transformPointCloud(
const pcl::PointCloud<pcl::PointXYZ>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const Transform & transform)
{
pcl::PointCloud<pcl::PointXYZ>::Ptr output(new pcl::PointCloud<pcl::PointXYZ>);
pcl::transformPointCloud(*cloud, *indices, *output, transform.toEigen4f());
return output;
}
pcl::PointCloud<pcl::PointXYZRGB>::Ptr transformPointCloud(
const pcl::PointCloud<pcl::PointXYZRGB>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const Transform & transform)
{
pcl::PointCloud<pcl::PointXYZRGB>::Ptr output(new pcl::PointCloud<pcl::PointXYZRGB>);
pcl::transformPointCloud(*cloud, *indices, *output, transform.toEigen4f());
return output;
}
pcl::PointCloud<pcl::PointNormal>::Ptr transformPointCloud(
const pcl::PointCloud<pcl::PointNormal>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const Transform & transform)
{
pcl::PointCloud<pcl::PointNormal>::Ptr output(new pcl::PointCloud<pcl::PointNormal>);
pcl::transformPointCloudWithNormals(*cloud, *indices, *output, transform.toEigen4f());
return output;
}
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr transformPointCloud(
const pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr & cloud,
const pcl::IndicesPtr & indices,
const Transform & transform)
{
pcl::PointCloud<pcl::PointXYZRGBNormal>::Ptr output(new pcl::PointCloud<pcl::PointXYZRGBNormal>);
pcl::transformPointCloudWithNormals(*cloud, *indices, *output, transform.toEigen4f());
return output;
}
cv::Point3f transformPoint(
const cv::Point3f & point,
const Transform & transform)