Note
Click here to download the full example code
WLS example in 3D¶
First, the required dependencies are imported:
from autonav import wls
from autonav.file_handlers import readpathfile
from autonav.plots import plot_trajectories
from numpy import array
The next step is to define the simulation parameters:
# Area border
b = 200
# Number of anchors
n = 8
# Position of the anchors
a_i = array(
[
[0, 0, 0],
[0, b, 0],
[b / 2, 0, 0],
[b / 2, b, 0],
[0, 0, b / 8],
[0, b, b / 8],
[b / 2, 0, b / 8],
[b / 2, b, b / 8],
]
).T
# Number of measurement samples
k = 50
# Maximum velocity allowed to the UAV
v_max = b / 100
# Distance threshold
tau = b / 50
# Smoothing factor
gamma = b / 100
# Initial position of the UAV
initial_uav_position = [10, 10, 5]
# File containing the waypoints
destinations = readpathfile("Path.csv")
# Noise seed
noise_seed = 1
# Noise Distribution
noise_distribution = "normal"
# Noise distribution parameters
mean = 0
std = 1
noise_distribution_parameters = [mean, std]
Finally, one can invoke the [wls
] and function and plot the estimated trajectory:
[estimated_positions, true_trajectory] = wls(
a_i,
n,
k,
destinations,
initial_uav_position,
v_max,
tau,
gamma,
noise_seed,
noise_distribution,
noise_distribution_parameters,
)
plt_obj = plot_trajectories(destinations, [true_trajectory], a_i, ["WLS"])
Total running time of the script: ( 0 minutes 1.001 seconds)
Download Python source code: plot_wls_1.py