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merged master to 0.11.0

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matlabbe
2015-11-30 19:39:05 -05:00
parent e58f907440 38fd459c7b
commit fc47d07b85
9 changed files with 273 additions and 186 deletions
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corelib/src/Rtabmap.cpp
+64 -51
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@@ -982,72 +982,85 @@ bool Rtabmap::process(
// Update optimizedPoses with the newly added node
Transform newPose;
if(signature->getLinks().size() == 1 &&
!smallDisplacement &&
_memory->isIncremental()) // ignore pose matching in localization mode
if(_neighborLinkRefining &&
signature->getLinks().size() == 1 &&
_memory->isIncremental() && // ignore pose matching in localization mode
rehearsedId == 0) // don't do it if rehearsal happened
{
int oldId = signature->getLinks().begin()->first;
const Signature * oldS = _memory->getSignature(oldId);
UASSERT(oldS != 0);
//============================================================
// Scan matching
//============================================================
if(_neighborLinkRefining &&
!signature->sensorData().laserScanCompressed().empty() &&
rehearsedId == 0) // don't do it if rehearsal happened
{
UINFO("Odometry correction by scan matching");
Transform guess = signature->getLinks().begin()->second.transform().inverse();
float variance = 1.0f;
int inliers = 0;
float inliersRatio = 0;
std::string rejectedMsg;
Transform t = _memory->computeIcpTransform(oldId, signature->id(), guess, &rejectedMsg, &inliers, &variance, &inliersRatio);
if(!t.isNull())
{
UINFO("Scan matching: update neighbor link (%d->%d, variance=%f) from %s to %s",
signature->id(),
oldId,
variance,
signature->getLinks().at(oldId).transform().prettyPrint().c_str(),
t.prettyPrint().c_str());
UASSERT(variance > 0.0);
_memory->updateLink(oldId, signature->id(), t, variance, variance);
Transform guess = signature->getLinks().begin()->second.transform().inverse();
if(_optimizeFromGraphEnd)
if(smallDisplacement)
{
if(signature->getLinks().begin()->second.transVariance() == 1)
{
// set small variance
UDEBUG("Set small variance. The robot is not moving.");
_memory->updateLink(signature->id(), oldId, guess, 0.0001, 0.0001);
}
}
else
{
//============================================================
// Scan matching
//============================================================
if(!signature->sensorData().laserScanCompressed().empty())
{
UINFO("Odometry correction by scan matching");
Transform guess = signature->getLinks().begin()->second.transform().inverse();
float variance = 1.0f;
int inliers = 0;
float inliersRatio = 0;
std::string rejectedMsg;
Transform t = _memory->computeIcpTransform(oldId, signature->id(), guess, &rejectedMsg, &inliers, &variance, &inliersRatio);
if(!t.isNull())
{
// update all previous nodes
// Normally _mapCorrection should be identity, but if _optimizeFromGraphEnd
// parameters just changed state, we should put back all poses without map correction.
Transform u = guess * t.inverse();
std::map<int, Transform>::iterator jter = _optimizedPoses.find(oldId);
UASSERT(jter!=_optimizedPoses.end());
Transform up = jter->second * u * jter->second.inverse();
Transform mapCorrectionInv = _mapCorrection.inverse();
for(std::map<int, Transform>::iterator iter=_optimizedPoses.begin(); iter!=_optimizedPoses.end(); ++iter)
UINFO("Scan matching: update neighbor link (%d->%d, variance=%f) from %s to %s",
signature->id(),
oldId,
variance,
signature->getLinks().at(oldId).transform().prettyPrint().c_str(),
t.prettyPrint().c_str());
UASSERT(variance > 0.0);
_memory->updateLink(oldId, signature->id(), t, variance, variance);
if(_optimizeFromGraphEnd)
{
iter->second = mapCorrectionInv * up * iter->second;
// update all previous nodes
// Normally _mapCorrection should be identity, but if _optimizeFromGraphEnd
// parameters just changed state, we should put back all poses without map correction.
Transform u = guess * t.inverse();
std::map<int, Transform>::iterator jter = _optimizedPoses.find(oldId);
UASSERT(jter!=_optimizedPoses.end());
Transform up = jter->second * u * jter->second.inverse();
Transform mapCorrectionInv = _mapCorrection.inverse();
for(std::map<int, Transform>::iterator iter=_optimizedPoses.begin(); iter!=_optimizedPoses.end(); ++iter)
{
iter->second = mapCorrectionInv * up * iter->second;
}
}
}
}
else
{
UINFO("Scan matching rejected: %s", rejectedMsg.c_str());
if(variance > 0)
else
{
double sqrtVar = sqrt(variance);
_memory->updateLink(signature->id(), oldId, guess, sqrtVar, sqrtVar);
UINFO("Scan matching rejected: %s", rejectedMsg.c_str());
if(variance > 0)
{
double sqrtVar = sqrt(variance);
_memory->updateLink(signature->id(), oldId, guess, sqrtVar, sqrtVar);
}
}
statistics_.addStatistic(Statistics::kNeighborLinkRefiningAccepted(), !t.isNull()?1.0f:0);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningInliers(), inliers);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningInliers_ratio(), inliersRatio);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningVariance(), variance);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningPts(), signature->sensorData().laserScanRaw().cols);
}
statistics_.addStatistic(Statistics::kNeighborLinkRefiningAccepted(), !t.isNull()?1.0f:0);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningInliers(), inliers);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningInliers_ratio(), inliersRatio);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningVariance(), variance);
statistics_.addStatistic(Statistics::kNeighborLinkRefiningPts(), signature->sensorData().laserScanRaw().cols);
}
timeNeighborLinkRefining = timer.ticks();
ULOGGER_INFO("timeScanMatching=%fs", timeNeighborLinkRefining);
ULOGGER_INFO("timeScanMatching=%fs", timeNeighborLinkRefining);
UASSERT(oldS->hasLink(signature->id()));
UASSERT(uContains(_optimizedPoses, oldId));