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The Netherlands in Colorized Point Clouds
Head of Data Analytics Dr. Ing. Bas Boom
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Accuracy:
• Absolute: Average standard deviation: 10 cm
• Relative: 2 cm (standard deviation in distance
measurement)
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Agenda
Recording System
• Panoramic Camera
• Lidar Sensor
• Meshing
• Colorized Point
Clouds
• Depth Imagery
Current Coverage
• (NL) Imagery
• (NL) Point Clouds
• USA, Gemany
Aerial Images &
LiDAR
• CityMapper
• Registration
• Combination
Future Vision
• Recognizing every
pixel
• Deep Learning
• Image Segmentation
• Semantic Point
Projection
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Present recording system:
DCR10L
D: Digital
C: Cyclorama (Panoramic Image)
R: Recording System (version 10)
L: LiDAR
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GPS
antenna
LiDAR
scanner
IMU 5 cameras
Camera control, time
sync, positioning etc.
Operator
tablet
HD-Cyclorama recording system (‘DCR10L’)
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HD-Cyclorama recording system (‘DCR10L’) – Cross section
Driving direction
1. Front 2. Right 3. Top 4. Left 5. Back
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HD-Cyclorama recording system (‘DCR10L’) – Processing Principle
Right
Fro
nt
Left
Back Top
Right
Fro
nt
Left
Back Top
Right
Fro
nt
Left
Back Top
Right
Fro
nt
Left
Back Top
Right
Fro
nt
Left
Back Top
Right
Fro
nt
Left
Back Top
Driving direction
The only practical way to
obtain geometrically correct
panoramic images,
is to record from one SINGLE
recording location
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HD-Cyclorama recording system (‘DCR10L’) – Processing Principle
1.
Front
2.
Right
3. Top
4.
Left
5.
Back
5.
Back
Cameras projected in equirectangular panoramic perspective
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HD-Cyclorama recording system (‘DCR10L’) – Processing Principle
1.
Front
2.
Right
3. Top
4.
Left
5.
Back
5.
Back
Final result as an equirectangular panorama
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Meshing on LiDAR point clouds (Delauney triangle)
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Subtitle
1. Sum up
Reading text
• Ray (d): Single Light beam (pixel) recorded by the camera
• Triangle (v1,v2,v3): Lidar points without color
• Colorized Lidar points are created by (for simplicity) weighted sum of color values of closest rays
• Depth images are created based on distance t
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Ray Tracing
V2 d
V3
V1
t
0
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Subtitle
1. Sum up
Reading text
Attributes:
• Intensity
• Simultaneous GeoCyclorma
recording
• Colored points
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TEXT LEVELS
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• Bullet
2 • Sub-bullet #1
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4
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Subtitle
1. Sum up
Reading text
Visualisations:
• Height
• Color
• Intensity
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• Every Pixel in 3D
• Quick and accurate
3D measurements
• 3D Cursor
3D Cyclorama
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• Flooding Simulation
• Water Run-off and
ponding analysis
3D Cyclorama
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Cyclorama/LiDAR point clouds coverage
• The Netherlands
• Germany
• USA
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Aerial Image and LiDAR (CityMapper)
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Terrestrial Pointclouds registered on Aerial Pointclouds
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Future Vision (Adding Semantics per Pixel/Point)
• Deep Learning
• Full Image Segmentation
• Like the colors, project the semantics labels to point cloud
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