gm_phd_ett_tracker: Wrapper function to strt the phd_ett algorithm

Description Usage Arguments Value References Examples

View source: R/phd_ett.R

Description

Wrapper function to strt the phd_ett algorithm

Usage

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gm_phd_ett_tracker(
  x,
  type = "linear",
  birthRegion = "detected",
  param,
  T_s,
  sigma2_p,
  sigma2_v,
  sigma2_m,
  P_S,
  Nbirth,
  kappa,
  P_D,
  tau,
  U,
  wt,
  w,
  P_Sp,
  P_B,
  tauD
)

Arguments

x

data.frame: requires time, utm position north and east (m), utm speed north and east (m/s), heading, and size of the target.

type

string: linear or non-linear filter

birthRegion

string:

param

list: List of starting parameters

T_s

scalar:

sigma2_p

scalar:

sigma2_v

scalar:

sigma2_m

scalar:

P_S

scalar:

Nbirth

scalar:

kappa

scalar:

P_D

scalar:

tau

scalar:

U

scalar:

wt

scalar:

w

scalar:

P_Sp

scalar:

P_B

scalar:

tauD

scalar:

Value

data.frame with an additional column indication the target id, unique for the entire tracking history, and a few additional kinematic columns

References

\insertRef

Fowdur2019vesselett

Examples

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## Not run: 
x <- create_tracking_history(target_type = "extended")
phd_ett(x)

## End(Not run)

ick003/vesselett documentation built on July 20, 2020, 9:08 p.m.