Description Usage Arguments Value References Examples
Wrapper function to strt the phd_ett algorithm
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | 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
)
|
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: |
data.frame with an additional column indication the target id, unique for the entire tracking history, and a few additional kinematic columns
Fowdur2019vesselett
1 2 3 4 5 | ## Not run:
x <- create_tracking_history(target_type = "extended")
phd_ett(x)
## End(Not run)
|
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