Classes | |
class | UnscentedInfoFilterData |
Public Member Functions | |
void | computeSigmaPoints (boost::shared_ptr< opentl::models::Target > target) |
Compute sigma points, representing the incremental state distribution (mean and covariance), with the Unscented Transform. | |
virtual void | correct (std::vector< boost::shared_ptr< opentl::models::Target > > &targets) |
Perform the measurement, and update the state for all targets. | |
UnscentedInfoFilterData * | getInfoFilterData (std::size_t tIdx) |
Obtain the internal UIF data for a given target. | |
virtual void | init (std::vector< boost::shared_ptr< opentl::models::Target > > &targets, std::vector< boost::shared_ptr< opentl::core::State > > *initStates=NULL, std::vector< boost::shared_ptr< math::SquareMatrix > > *initCovs=NULL, std::vector< int > *nHypotheses=NULL) |
Initialize: allocate internal data, and update warp, for all targets. | |
virtual void | predict (std::vector< boost::shared_ptr< opentl::models::Target > > &targets) |
Predict the state for multiple targets. | |
void | predictZeroT () |
UnscentedInfoFilter (opentl::modalities::Likelihood &likelihood, opentl::modelprojection::Warp &warp) | |
Constructor. | |
virtual | ~UnscentedInfoFilter () |
Protected Member Functions | |
virtual void | output (std::vector< boost::shared_ptr< opentl::models::Target > > &targets) |
Compute the output state for all targets. |
opentl::tracker::UnscentedInfoFilter::UnscentedInfoFilter | ( | opentl::modalities::Likelihood & | likelihood, | |
opentl::modelprojection::Warp & | warp | |||
) |
Constructor.
likelihood | Likelihood class (for explicit measurements) | |
targets | Vector of targets | |
warp | The warp class |
virtual opentl::tracker::UnscentedInfoFilter::~UnscentedInfoFilter | ( | ) | [virtual] |
void opentl::tracker::UnscentedInfoFilter::computeSigmaPoints | ( | boost::shared_ptr< opentl::models::Target > | target | ) |
Compute sigma points, representing the incremental state distribution (mean and covariance), with the Unscented Transform.
target | Single target - the sigma points are stored inside its states, as incremental values with respect to the OUTPUT state |
virtual void opentl::tracker::UnscentedInfoFilter::correct | ( | std::vector< boost::shared_ptr< opentl::models::Target > > & | targets | ) | [virtual] |
Perform the measurement, and update the state for all targets.
targets | Vector of targets |
Implements opentl::tracker::Tracker.
UnscentedInfoFilterData* opentl::tracker::UnscentedInfoFilter::getInfoFilterData | ( | std::size_t | tIdx | ) |
Obtain the internal UIF data for a given target.
targetNum | Index of the target |
virtual void opentl::tracker::UnscentedInfoFilter::init | ( | std::vector< boost::shared_ptr< opentl::models::Target > > & | targets, | |
std::vector< boost::shared_ptr< opentl::core::State > > * | initStates = NULL , |
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std::vector< boost::shared_ptr< math::SquareMatrix > > * | initCovs = NULL , |
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std::vector< int > * | nHypotheses = NULL | |||
) | [virtual] |
Initialize: allocate internal data, and update warp, for all targets.
targets | Vector of targets | |
initStates | Vector of initial states (optional); it must have same size of targets | |
initCovs | Vector of initial covariances (optional); it must have the same size of targets | |
nHypotheses | Vector with number of state hypotheses for each target distribution (not used here) |
Implements opentl::tracker::Tracker.
virtual void opentl::tracker::UnscentedInfoFilter::output | ( | std::vector< boost::shared_ptr< opentl::models::Target > > & | targets | ) | [inline, protected, virtual] |
Compute the output state for all targets.
targets | Vector of targets |
Reimplemented from opentl::tracker::Tracker.
virtual void opentl::tracker::UnscentedInfoFilter::predict | ( | std::vector< boost::shared_ptr< opentl::models::Target > > & | targets | ) | [virtual] |
Predict the state for multiple targets.
targets | Vector of targets |
Implements opentl::tracker::Tracker.
void opentl::tracker::UnscentedInfoFilter::predictZeroT | ( | ) |