feat: add lidar course

This commit is contained in:
huaqo
2026-04-15 23:07:55 +02:00
parent ec3c633ec8
commit 2aa6d432f0
22 changed files with 11018 additions and 16 deletions
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PROJCS["ETRS89_UTM_Zone33_7",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",3500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
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{
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{
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{
"golm": 2.454589545833545,
"palais": 2.4076303262425336
}
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "3ef1d31d-b8d2-4a13-916b-819868ec6df2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Jupyter environment detected. Enabling Open3D WebVisualizer.\n",
"[Open3D INFO] WebRTC GUI backend enabled.\n",
"[Open3D INFO] WebRTCWindowSystem: HTTP handshake server disabled.\n"
]
}
],
"source": [
"import laspy\n",
"import numpy as np\n",
"import open3d as o3d"
]
},
{
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"execution_count": 2,
"id": "82ee9b51-c12b-49b1-a9b0-68d11b1fabdb",
"metadata": {},
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"source": [
"data_2012 = laspy.read(\"2012/golm_364806_fp.las\")"
]
},
{
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"execution_count": 3,
"id": "85d67e00-3749-4bbf-a1a9-fa8a700b894d",
"metadata": {},
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"source": [
"points = np.vstack((data_2012.x, data_2012.y, data_2012.z)).T"
]
},
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"id": "da00e8e7-ae4a-449c-b5bc-2f08939903e9",
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"text": [
"\u001b[1;33m[Open3D WARNING] GLFW Error: Wayland: The platform does not support setting the window position\u001b[0;m\n",
"\u001b[1;33m[Open3D WARNING] Failed to initialize GLEW.\u001b[0;m\n",
"\u001b[1;33m[Open3D WARNING] [DrawGeometries] Failed creating OpenGL window.\u001b[0;m\n"
]
},
{
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"text": [
"libdecor-gtk-WARNING: Failed to initialize GTK\n",
"Failed to load plugin 'libdecor-gtk.so': failed to init\n"
]
}
],
"source": [
"pcd = o3d.geometry.PointCloud()\n",
"pcd.points = o3d.utility.Vector3dVector(points)\n",
"o3d.visualization.draw_geometries([pcd])"
]
},
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import json
import laspy
import numpy as np
import open3d as o3d
def density(data):
min_x, max_x = np.min(data.x), np.max(data.x)
min_y, max_y = np.min(data.y), np.max(data.y)
area = (max_x - min_x) * (max_y - min_y)
n_points = len(data.x)
density = n_points / area
return density
def data2np(data):
points = np.vstack((data.x, data.y, data.z)).transpose()
return points
def plot_o3d(points):
pcd = o3d.geometry.PointCloud()
pcd.points = o3d.utility.Vector3dVector(points)
o3d.visualization.draw_geometries([pcd])
def main():
data_golm = laspy.read("2012/golm_364806_fp.las")
data_palais = laspy.read("2012/neuespalais362808_fp.las")
density_golm = density(data_golm)
density_palais = density(data_palais)
output_density = {
"golm": density_golm,
"palais": density_palais
}
with open("density.json", "w") as f:
json.dump(output_density, f, indent=4)
#points_golm = data2np(data_golm)
#points_palais = data2np(data_golm)
#plot_o3d(points_golm)
#plot_o3d(points_palais)
if __name__ == "__main__":
main()
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= Lab 1
Joaquin Gottlebe
== Question 1
#figure(
image("q1.png", width: 80%),
caption: [...],
)
== Question 2
#figure(
image("q2_return.png", width: 80%),
caption: [...],
)
#figure(
image("q2_flight.png", width: 80%),
caption: [...],
)
== Question 3
#figure(
image("q3_golm.png", width: 80%),
caption: [...],
)
#figure(
image("q3_golm_2018.png", width: 80%),
caption: [...],
)
#figure(
image("q3_neuespalais.png", width: 80%),
caption: [...],
)
#figure(
image("q3_neuespalais_2018.png", width: 80%),
caption: [...],
)
== Question 4
#figure(
image("q4_golm.png", width: 80%),
caption: [...],
)
#figure(
image("q4_palais.png", width: 80%),
caption: [...],
)
== Question 5
#let density = json("density.json")
Golm: #density.golm \
Neues Palais: #density.palais
== Question 6
== Question 7
== Question 8
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open3d
PDAL
GDAL==3.11.5
scipy
numpy
pandas
laspy