mirror of
https://github.com/introlab/rtabmap_ros.git
synced 2026-10-05 17:27:46 +08:00
ros-pkg: added all remaining data contained in Signature into NodeData msg
map_optimizer doesn't need anymore to explicitly disable optimization in rtabmap node, thought it is still recommended to disable it to avoid double optimization... git-svn-id: http://rtabmap.googlecode.com/svn/trunk/ros-pkg@1941 f169173b-cf89-36c8-b27e-44dbe73f0c83
This commit is contained in:
+98
-89
@@ -31,6 +31,7 @@ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#include <rtabmap/core/util3d.h>
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#include <rtabmap/core/Parameters.h>
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#include <rtabmap/utilite/ULogger.h>
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#include <rtabmap/utilite/UTimer.h>
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#include <ros/subscriber.h>
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#include <ros/publisher.h>
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#include <tf/tf.h>
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@@ -48,7 +49,7 @@ public:
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odomFrameId_("odom"),
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iterations_(100),
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globalOptimization_(true),
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condChecked_(false),
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optimizeFromLastNode_(false),
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mapToOdom_(tf::Transform::getIdentity()),
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transformThread_(0)
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{
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@@ -59,32 +60,26 @@ public:
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pnh.param("odom_frame_id", odomFrameId_, odomFrameId_);
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pnh.param("iterations", iterations_, iterations_);
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pnh.param("global_optimization", globalOptimization_, globalOptimization_);
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pnh.param("optimize_from_last_node", optimizeFromLastNode_, optimizeFromLastNode_);
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UASSERT(iterations_ > 0);
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double tfDelay = 0.05; // 20 Hz
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bool publishTf = true;
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pnh.param("publish_tf", publishTf, publishTf);
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pnh.param("tf_delay", tfDelay, tfDelay);
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// Verify that rtabmap is not sending optimized poses!
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std::string toroIterations;
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if(nh.getParam(Parameters::kRGBDToroIterations(), toroIterations))
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{
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if(std::atoi(toroIterations.c_str()) != 0)
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{
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ROS_WARN("map_optimizer: Parameter \"%s\" of rtabmap node is not 0 (value=%s), it should be 0 (optimization desactivated).",
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Parameters::kRGBDToroIterations().c_str(), toroIterations.c_str());
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exit(-1);
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}
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}
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mapDataTopic_ = nh.subscribe("mapData", 1, &MapOptimizer::mapDataReceivedCallback, this);
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mapDataPub_ = nh.advertise<rtabmap::MapData>(nh.resolveName("mapData")+"_optimized", 1);
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ROS_INFO("map_optimizer will publish tf between frames \"%s\" and \"%s\"", mapFrameId_.c_str(), odomFrameId_.c_str());
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ROS_INFO("map_optimizer: map_frame_id = %s", mapFrameId_.c_str());
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ROS_INFO("map_optimizer: odom_frame_id = %s", odomFrameId_.c_str());
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ROS_INFO("map_optimizer: tf_delay = %f", tfDelay);
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transformThread_ = new boost::thread(boost::bind(&MapOptimizer::publishLoop, this, tfDelay));
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if(publishTf)
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{
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ROS_INFO("map_optimizer will publish tf between frames \"%s\" and \"%s\"", mapFrameId_.c_str(), odomFrameId_.c_str());
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ROS_INFO("map_optimizer: map_frame_id = %s", mapFrameId_.c_str());
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ROS_INFO("map_optimizer: odom_frame_id = %s", odomFrameId_.c_str());
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ROS_INFO("map_optimizer: tf_delay = %f", tfDelay);
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transformThread_ = new boost::thread(boost::bind(&MapOptimizer::publishLoop, this, tfDelay));
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}
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}
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~MapOptimizer()
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@@ -113,60 +108,26 @@ public:
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void mapDataReceivedCallback(const rtabmap::MapDataConstPtr & msg)
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{
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if(globalOptimization_ && !condChecked_)
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{
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// Verify that rtabmap is not sending optimized poses!
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ros::NodeHandle nh;
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std::string toroIterations;
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if(nh.getParam(Parameters::kRGBDToroIterations(), toroIterations))
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{
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if(std::atoi(toroIterations.c_str()) != 0)
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{
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ROS_ERROR("map_optimizer: Parameter \"%s\" of rtabmap node is not 0 (value=%s), it should be 0 (optimization desactivated).",
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Parameters::kRGBDToroIterations().c_str(), toroIterations.c_str());
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exit(-1);
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}
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}
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else
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{
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ROS_ERROR("map_optimizer: Could not get parameter \"%s\" of rtabmap node, it should be 0 (optimization desactivated). Is rtabmap node started? and in the same namespace that map_assembler?", Parameters::kRGBDToroIterations().c_str());
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exit(-1);
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}
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condChecked_ = true;
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}
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else if(!globalOptimization_)
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{
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// optimize only local map
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poses_.clear();
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constraints_.clear();
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mapIds_.clear();
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}
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// save new poses and constraints
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// Assuming that nodes/constraints are all linked together
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UASSERT(msg->poseIDs.size() == msg->poses.size());
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UASSERT(msg->mapIDs.size() == msg->poseIDs.size());
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UASSERT(msg->mapIDs.size() == msg->maps.size());
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std::map<int, Transform> newPoses;
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std::map<int, int> newMapIds;
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for(unsigned int i=0; i<msg->poseIDs.size() && i<msg->poseIDs.size(); ++i)
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{
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newPoses.insert(std::make_pair(msg->poseIDs[i], transformFromPoseMsg(msg->poses[i])));
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newMapIds.insert(std::make_pair(msg->mapIDs[i], msg->maps[i]));
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}
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UASSERT(msg->constraints.size() == msg->constraintFromIDs.size() &&
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msg->constraints.size() == msg->constraintToIDs.size() &&
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msg->constraints.size() == msg->constraintTypes.size());
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std::multimap<int, Link> allNewConstraints;
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std::multimap<int, Link> filteredNewConstraints;
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bool constraintsChanged = false;
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bool dataChanged = false;
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std::multimap<int, Link> newConstraints;
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for(unsigned int i=0; i<msg->constraints.size() && i<msg->constraints.size(); ++i)
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{
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Link link(msg->constraintFromIDs[i], msg->constraintToIDs[i], transformFromGeometryMsg(msg->constraints[i]), (Link::Type)msg->constraintTypes[i]);
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allNewConstraints.insert(std::make_pair(link.from(), link));
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newConstraints.insert(std::make_pair(link.from(), link));
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bool edgeAlreadyAdded = false;
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for(std::multimap<int, Link>::iterator iter = constraints_.lower_bound(link.from());
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iter != constraints_.end() && iter->first == link.from();
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for(std::multimap<int, Link>::iterator iter = cachedConstraints_.lower_bound(link.from());
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iter != cachedConstraints_.end() && iter->first == link.from();
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++iter)
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{
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if(iter->second.to() == link.to())
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@@ -174,59 +135,106 @@ public:
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edgeAlreadyAdded = true;
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if(iter->second.transform() != link.transform())
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{
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constraintsChanged = true;
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dataChanged = true;
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}
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}
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}
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if(!edgeAlreadyAdded)
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{
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filteredNewConstraints.insert(std::make_pair(link.from(), link));
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cachedConstraints_.insert(std::make_pair(link.from(), link));
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}
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}
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//If a transform has changed, clear all.
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if(constraintsChanged)
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std::map<int, Transform> newPoses;
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std::map<int, int> newMapIds;
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// add new odometry poses
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for(unsigned int i=0; i<msg->nodes.size(); ++i)
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{
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UWARN("Some received constraints have changed from the cached "
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"constraints. RTAB-Map is restarted? If yes, ignore this "
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"warning. Clearing all cached constraints and restart with "
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"the new ones...");
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poses_ = newPoses;
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mapIds_ = newMapIds;
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constraints_ = allNewConstraints;
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int id = msg->nodes[i].id;
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Transform pose = transformFromPoseMsg(msg->nodes[i].pose);
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newPoses.insert(std::make_pair(id, pose));
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newMapIds.insert(std::make_pair(id, msg->nodes[i].mapId));
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std::pair<std::map<int, Transform>::iterator, bool> p = cachedPoses_.insert(std::make_pair(id, pose));
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if(!p.second && pose != cachedPoses_.at(id))
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{
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dataChanged = true;
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}
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else if(p.second)
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{
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cachedMapIds_.insert(std::make_pair(id, msg->nodes[i].mapId));
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}
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}
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if(dataChanged)
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{
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ROS_WARN("Graph data has changed! Reset cache...");
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cachedPoses_ = newPoses;
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cachedMapIds_ = newMapIds;
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cachedConstraints_ = newConstraints;
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}
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//match poses in the graph
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std::map<int, Transform> poses;
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std::map<int, int> mapIds;
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std::multimap<int, Link> constraints;
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if(globalOptimization_)
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{
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poses = cachedPoses_;
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mapIds = cachedMapIds_;
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constraints = cachedConstraints_;
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}
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else
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{
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poses_.insert(newPoses.begin(), newPoses.end());
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mapIds_.insert(newMapIds.begin(), newMapIds.end());
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constraints_.insert(filteredNewConstraints.begin(), filteredNewConstraints.end());
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constraints = newConstraints;
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for(unsigned int i=0; i<msg->poseIDs.size(); ++i)
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{
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std::map<int, Transform>::iterator iter = cachedPoses_.find(msg->poseIDs[i]);
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if(iter != cachedPoses_.end())
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{
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poses.insert(*iter);
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mapIds.insert(*cachedMapIds_.find(iter->first));
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}
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else
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{
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ROS_ERROR("Odometry pose of node %d not found in cache!", msg->poseIDs[i]);
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return;
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}
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}
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}
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// Optimize only if there is a subscriber
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if(mapDataPub_.getNumSubscribers())
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{
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UTimer timer;
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std::map<int, Transform> optimizedPoses;
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std::map<int, int> mapIds = mapIds_;
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Transform mapCorrection = Transform::getIdentity();
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if(poses_.size() > 1 && constraints_.size() > 0)
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if(poses.size() > 1 && constraints.size() > 0)
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{
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Transform mapCorrectionToro;
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util3d::optimizeTOROGraph(poses_, constraints_, optimizedPoses, mapCorrectionToro, iterations_, true);
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if(optimizeFromLastNode_)
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{
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std::map<int, int> depthGraph = util3d::generateDepthGraph(constraints, poses.rbegin()->first);
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util3d::optimizeTOROGraph(depthGraph, poses, constraints, optimizedPoses, iterations_);
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}
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else
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{
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util3d::optimizeTOROGraph(poses, constraints, optimizedPoses, iterations_);
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}
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mapToOdomMutex_.lock();
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mapCorrection = optimizedPoses.at(poses_.rbegin()->first) * poses_.rbegin()->second.inverse();
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mapCorrection = optimizedPoses.at(poses.rbegin()->first) * poses.rbegin()->second.inverse();
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rtabmap::transformToTF(mapCorrection, mapToOdom_);
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mapToOdomMutex_.unlock();
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}
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else if(poses_.size() == 1 && constraints_.size() == 0)
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else if(poses.size() == 1 && constraints.size() == 0)
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{
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optimizedPoses = poses_;
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optimizedPoses = poses;
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}
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else if(poses_.size() || constraints_.size())
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else if(poses.size() || constraints.size())
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{
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ROS_ERROR("map_optimizer: Poses=%zu and edges=%zu (poses must "
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ROS_ERROR("map_optimizer: Poses=%d and edges=%d (poses must "
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"not be null if there are edges, and edges must be null if poses <= 1)",
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poses_.size(), constraints_.size());
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(int)poses.size(), (int)constraints.size());
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mapIds.clear();
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}
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@@ -248,6 +256,8 @@ public:
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++i;
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}
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mapDataPub_.publish(outputMsg);
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ROS_INFO("Time graph optimization = %f s", timer.ticks());
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}
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}
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@@ -256,8 +266,7 @@ private:
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std::string odomFrameId_;
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int iterations_;
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bool globalOptimization_;
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bool condChecked_;
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bool optimizeFromLastNode_;
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tf::Transform mapToOdom_;
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boost::mutex mapToOdomMutex_;
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@@ -266,9 +275,9 @@ private:
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ros::Publisher mapDataPub_;
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std::map<int, Transform> poses_;
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std::multimap<int, Link> constraints_;
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std::map<int, int> mapIds_;
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std::map<int, Transform> cachedPoses_;
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std::map<int, int> cachedMapIds_;
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std::multimap<int, Link> cachedConstraints_;
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tf::TransformBroadcaster tfBroadcaster_;
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boost::thread* transformThread_;
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