Public Member Functions | Public Attributes | Protected Member Functions | Protected Attributes | Private Member Functions | Private Attributes | Friends
karto::OpenMapper Class Reference

#include <OpenMapper.h>

Inheritance diagram for karto::OpenMapper:
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List of all members.

Public Member Functions

const LocalizedObjectList GetAllProcessedObjects () const
const LocalizedLaserScanList GetAllProcessedScans () const
virtual MapperGraphGetGraph () const
ScanMatcherGetLoopScanMatcher () const
MapperSensorManagerGetMapperSensorManager () const
ScanSolverGetScanSolver () const
ScanMatcherGetSequentialScanMatcher () const
void Initialize (kt_double rangeThreshold)
kt_bool IsInitialized ()
kt_bool IsMultiThreaded ()
 OpenMapper (kt_bool multiThreaded=true)
 OpenMapper (const char *pName, kt_bool multiThreaded=true)
virtual kt_bool Process (Object *pObject)
void Reset ()
void SetScanSolver (ScanSolver *pSolver)
kt_bool TryCloseLoop (LocalizedLaserScan *pScan, const Identifier &rSensorName)

Public Attributes

BasicEvent< MapperEventArgumentsMessage
BasicEvent< MapperEventArgumentsPostLoopClosed
BasicEvent< MapperEventArgumentsPreLoopClosed
BasicEvent< EventArgumentsScansUpdated

Protected Member Functions

virtual void ScanMatched (LocalizedLaserScan *pScan)
virtual void ScanMatchingEnd (LocalizedLaserScan *pScan)

Protected Attributes

SmartPointer< ScanSolverm_pScanSolver

Private Member Functions

kt_bool HasMovedEnough (LocalizedLaserScan *pScan, LocalizedLaserScan *pLastScan) const
void InitializeParameters ()
 OpenMapper (const OpenMapper &)
const OpenMapperoperator= (const OpenMapper &)

Private Attributes

kt_bool m_Initialized
kt_bool m_MultiThreaded
Parameter< kt_double > * m_pAngleVariancePenalty
Parameter< kt_double > * m_pCoarseAngleResolution
Parameter< kt_double > * m_pCoarseSearchAngleOffset
Parameter< kt_double > * m_pCorrelationSearchSpaceDimension
Parameter< kt_double > * m_pCorrelationSearchSpaceResolution
Parameter< kt_double > * m_pCorrelationSearchSpaceSmearDeviation
Parameter< kt_double > * m_pDistanceVariancePenalty
Parameter< kt_double > * m_pFineSearchAngleOffset
MapperGraphm_pGraph
Parameter< kt_double > * m_pLinkMatchMinimumResponseFine
Parameter< kt_double > * m_pLinkScanMaximumDistance
Parameter< kt_double > * m_pLoopMatchMaximumVarianceCoarse
Parameter< kt_int32u > * m_pLoopMatchMinimumChainSize
Parameter< kt_double > * m_pLoopMatchMinimumResponseCoarse
Parameter< kt_double > * m_pLoopMatchMinimumResponseFine
Parameter< kt_double > * m_pLoopSearchMaximumDistance
Parameter< kt_double > * m_pLoopSearchSpaceDimension
Parameter< kt_double > * m_pLoopSearchSpaceResolution
Parameter< kt_double > * m_pLoopSearchSpaceSmearDeviation
MapperSensorManagerm_pMapperSensorManager
Parameter< kt_double > * m_pMinimumAnglePenalty
Parameter< kt_double > * m_pMinimumDistancePenalty
Parameter< kt_double > * m_pMinimumTravelDistance
Parameter< kt_double > * m_pMinimumTravelHeading
Parameter< kt_double > * m_pScanBufferMaximumScanDistance
Parameter< kt_int32u > * m_pScanBufferSize
ScanMatcherm_pSequentialScanMatcher
Parameter< kt_bool > * m_pUseResponseExpansion
Parameter< kt_bool > * m_pUseScanBarycenter
Parameter< kt_bool > * m_pUseScanMatching

Friends

class MapperGraph
class ScanMatcher

Detailed Description

Graph SLAM mapper. Creates a map given a set of localized laser scans. The current Karto implementation is a high-performance scan-matching algorithm that constructs a map from individual scans and corrects for errors in the range and odometry data.

The mapper supports multi-robot mapping from a common starting point. NOTE: When using multiple sensors, the range thresholds of all sensors must be the same.

Todo:
Handle different range thresholds.

The following parameters can be set on the Mapper.

UseScanMatching (Parameter<kt_bool>)
When set to true, the mapper will use a scan-matching algorithm. In most real-world situations this should be set to true so that the mapper algorithm can correct for noise and errors in odometry and scan data. In some simulator environments where the simulated scan and odometry data are very accurate, the scan-matching algorithm can produce worse results. In those cases, set to false to improve results. Default value is true.

UseScanBarycenter (Parameter<kt_bool>)
When set to true, the mapper will use the scan's barycenter (the centroid of the point readings) as the position of the scan when calculating distances between scans when determining if scans are far (or near) "enough" to each other. Default value is true.

MinimumTravelDistance (Parameter<kt_double> - meters)
Sets the minimum travel distance between scans. If a new scan's position is more than this value from the previous scan, the mapper will use the data from the new scan. Otherwise, it will discard the new scan if it also does not meet the minimum change in heading requirement. For performance reasons, generally it is a good idea to only process scans if the robot has moved a reasonable amount. Default value is 0.2 (meters).

MinimumTravelHeading (Parameter<kt_double> - radians)
Sets the minimum heading change between scans. If a new scan's heading is more than this value from the previous scan, the mapper will use the data from the new scan. Otherwise, it will discard the new scan if it also does not meet the minimum travel distance requirement. For performance reasons, generally it is a good idea to only process scans if the robot has moved a reasonable amount. Default value is the equivalent value in radians of 20 degrees.

ScanBufferSize (Parameter<kt_int32u> - size)
Scan buffer size is the length of the scan chain stored for scan matching. This value should be set to approximately "scanBufferMaximumScanDistance" / "minimumTravelDistance". The idea is to get an area approximately 20 meters long for scan matching. For example, if we add scans every minimumTravelDistance == 0.3 meters, then "scanBufferSize" should be 20 / 0.3 = 67.) Default value is 70.

ScanBufferMaximumScanDistance (Parameter<kt_double> - meters)
Scan buffer maximum scan distance is the maximum distance between the first and last scans in the scan chain stored for matching. Default value is 20.0.

UseResponseExpansion (Parameter<kt_bool>)
Whether to increase the search space if no good matches are initially found. Default value is false.

DistanceVariancePenalty (Parameter<kt_double> - meters^2)
Variance of penalty for deviating from odometry when scan-matching. Use lower values if the robot's odometer is more accurate. Default value is 0.3.

MinimumDistancePenalty (Parameter<kt_double>)
Minimum value of the penalty multiplier so scores do not become too small. Default value is 0.5.

AngleVariancePenalty (Parameter<kt_double> - radians^2)
Variance of penalty for deviating from odometry when scan-matching. Use lower values if the robot's odometer is more accurate. Default value is the equivalent value in radians of 20 degrees^2.

MinimumAnglePenalty (Parameter<kt_double>)
Minimum value of the penalty multiplier so scores do not become too small. Angles are not very accurate and thus deviations from the odometer should not cause scores to drop precipitously. Default value is 0.9.

LinkMatchMinimumResponseFine (Parameter<kt_double> - probability (>= 0.0, <= 1.0))
Scans are linked only if the correlation response value is greater than this value. Default value is 0.6

LinkScanMaximumDistance (Parameter<kt_double> - meters)
Maximum distance between linked scans. Scans that are farther apart will not be linked regardless of the correlation response value. If this number is large, many scans will be considered "near". This can cause the mapper to aggressively try to close loops with scans that aren't linked to the current scan even though they aren't that close. Default value is 5.0 meters.

CorrelationSearchSpaceDimension (Parameter<kt_double> - meters)
The size of the search grid used by the matcher when matching sequential scans. Default value is 0.3 meters which tells the matcher to use a 30cm x 30cm grid.

CorrelationSearchSpaceResolution (Parameter<kt_double> - meters)
The resolution (size of a grid cell) of the correlation grid. Default value is 0.01 meters.

CorrelationSearchSpaceSmearDeviation (Parameter<kt_double> - meters)
The point readings are smeared by this value in X and Y to create a smoother response. Use higher values for environments that do not have crisp outlines (e.g., outdoor environments with bushes) or where the ground is uneven and rough (but flat overall). Default value is 0.03 meters.

CoarseSearchAngleOffset (Parameter<kt_double> - radians)
The range of angles to search in each direction from the robot's heading during a coarse search. Default value is the equivalent value in radians of 20 degrees.

FineSearchAngleOffset (Parameter<kt_double> - radians)
The range of angles to search in each direction from the robot's heading during a finer search. Default value is the equivalent value in radians of 0.2 degrees.

CoarseAngleResolution (Parameter<kt_double> - meters)
Resolution of angles to search during a coarse search Default value is the equivalent value in radians of 2 degrees.

LoopSearchSpaceDimension (Parameter<kt_double> - meters)
The size of the search grid used by the matcher when detecting loop closures. Default value is 8.0 meters which tells the matcher to use a 8m x 8m grid.

LoopSearchSpaceResolution (Parameter<kt_double> - meters)
The resolution (size of a grid cell) of the correlation grid used by the matcher to determine a possible loop closure. Default value is 0.05 meters.

LoopSearchSpaceSmearDeviation (Parameter<kt_double> - meters)
The point readings are smeared by this value in X and Y to create a smoother response. Used by the matcher to determine a possible loop closure match. Default value is 0.03 meters.

LoopSearchMaximumDistance (Parameter<kt_double> - meters)
Scans less than this distance from the current position will be considered for a match in loop closure. Default value is 4.0 meters.

LoopMatchMinimumChainSize (Parameter<kt_int32u>)
When the loop closure detection finds a candidate it must be part of a large set of linked scans. If the chain of scans is less than this value, we do not attempt to close the loop. Default value is 10.

LoopMatchMaximumVarianceCoarse (Parameter<kt_double>)
The co-variance values for a possible loop closure have to be less than this value to consider a viable solution. This applies to the coarse search. Default value is 0.16.

LoopMatchMinimumResponseCoarse (Parameter<kt_double> - probability (>= 0.0, <= 1.0))
If response is larger then this, then initiate loop closure search at the coarse resolution. Default value is 0.7.

LoopMatchMinimumResponseFine (Parameter<kt_double> - probability (>= 0.0, <= 1.0))
If response is larger then this, then initiate loop closure search at the fine resolution. Default value is 0.7.

Definition at line 1531 of file OpenMapper.h.


Constructor & Destructor Documentation

karto::OpenMapper::OpenMapper ( kt_bool  multiThreaded = true)

Default constructor

Parameters:
multiThreadedDefault constructor

Definition at line 2159 of file OpenMapper.cpp.

karto::OpenMapper::OpenMapper ( const char *  pName,
kt_bool  multiThreaded = true 
)

Create a Mapper with a name

Parameters:
pNamemapper name
multiThreadedDefault constructor

Definition at line 2174 of file OpenMapper.cpp.

karto::OpenMapper::OpenMapper ( const OpenMapper ) [private]

Member Function Documentation

Returns all processed objects added to the mapper. NOTE: The returned objects have their corrected pose updated.

Returns:
list of objects received and processed by the mapper. If no objects have been processed, returns an empty list.

Definition at line 2433 of file OpenMapper.cpp.

Returns all processed scans added to the mapper. NOTE: The returned scans have their corrected pose updated.

Returns:
list of scans received and processed by the mapper. If no scans have been processed, returns an empty list.

Definition at line 2421 of file OpenMapper.cpp.

Gets scan link graph

Returns:
graph

Definition at line 2456 of file OpenMapper.cpp.

Gets the loop scan matcher

Returns:
loop scan matcher

Definition at line 2466 of file OpenMapper.cpp.

Gets the sensor manager

Returns:
sensor manager

Definition at line 1666 of file OpenMapper.h.

Gets scan optimizer used by mapper when closing the loop

Returns:
scan solver

Definition at line 2446 of file OpenMapper.cpp.

Gets the sequential scan matcher

Returns:
sequential scan matcher

Definition at line 2461 of file OpenMapper.cpp.

kt_bool karto::OpenMapper::HasMovedEnough ( LocalizedLaserScan pScan,
LocalizedLaserScan pLastScan 
) const [private]

Tests if the scan is "sufficiently far" from the last scan added.

Parameters:
pScanscan to be checked
pLastScanlast scan added to mapper
Returns:
true if the scan is "sufficiently far" from the last scan added or the scan is the first scan to be added

Definition at line 2393 of file OpenMapper.cpp.

void karto::OpenMapper::Initialize ( kt_double  rangeThreshold)

Allocates memory needed for mapping. Please Reset() the mapper if range threshold on the laser range finder is changed after the mapper is initialized.

Parameters:
rangeThresholdrange threshold

Definition at line 2233 of file OpenMapper.cpp.

Definition at line 2196 of file OpenMapper.cpp.

Returns initialized flag for mapper

Definition at line 1714 of file OpenMapper.h.

Is mapper multi threaded

Returns:
true if multi threaded, false otherwise

Definition at line 1589 of file OpenMapper.h.

const OpenMapper& karto::OpenMapper::operator= ( const OpenMapper ) [private]
kt_bool karto::OpenMapper::Process ( Object pObject) [virtual]

Processes an object. If the object is a scan, the scan must be identified with a range finder sensor. Once added to a map, the corrected pose information in the localized object will be updated to the correct pose as determined by the mapper.

Parameters:
pObjectobject
Returns:
true if the object was processed successfully, false otherwise

Reimplemented from karto::Module.

Definition at line 2269 of file OpenMapper.cpp.

void karto::OpenMapper::Reset ( ) [virtual]

Resets the mapper. Deallocates memory allocated in Initialize()

Reimplemented from karto::Module.

Definition at line 2253 of file OpenMapper.cpp.

virtual void karto::OpenMapper::ScanMatched ( LocalizedLaserScan pScan) [inline, protected, virtual]

Hook called after scan matching and before trying loop closure

Parameters:
pScanscan that was scan-matched

Definition at line 1687 of file OpenMapper.h.

virtual void karto::OpenMapper::ScanMatchingEnd ( LocalizedLaserScan pScan) [inline, protected, virtual]

Hook called after scan matching and closing any loops

Parameters:
pScanscan that was scan-matched

Definition at line 1693 of file OpenMapper.h.

Sets scan optimizer used by mapper when closing the loop

Parameters:
pSolversolver

Definition at line 2451 of file OpenMapper.cpp.

kt_bool karto::OpenMapper::TryCloseLoop ( LocalizedLaserScan pScan,
const Identifier rSensorName 
) [inline]

Tries to close a loop using the given scan with the scans from the given sensor

Parameters:
pScanscan
rSensorNamename of sensor
Returns:
true if a loop was closed

Definition at line 1677 of file OpenMapper.h.


Friends And Related Function Documentation

friend class MapperGraph [friend]

Definition at line 1533 of file OpenMapper.h.

friend class ScanMatcher [friend]

Definition at line 1534 of file OpenMapper.h.


Member Data Documentation

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Solver used to optimize scan poses on pose graph

Definition at line 1728 of file OpenMapper.h.

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Event for generic mapper message. The mapper currently posts Message events when calculating possible loop closures and when rejecting a possible loop close.

Definition at line 1556 of file OpenMapper.h.

Event fires after a loop was closed.

Definition at line 1568 of file OpenMapper.h.

Event fires before a loop closure is about to happen. Calculating loop closure can be a CPU intensive task and the Mapper is blocking all Process calls. If mapper is running on "real" robot please either pause the robot or stop adding scans to the mapper.

Definition at line 1563 of file OpenMapper.h.

Event fires when the scans have been changed. Scans are changed after a loop closure and after any translation, rotation or transform.

Definition at line 1574 of file OpenMapper.h.


The documentation for this class was generated from the following files:


nav2d_karto
Author(s): Sebastian Kasperski
autogenerated on Sun Apr 2 2017 04:05:24